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LLM Engineer's Handbook
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LLM Engineer's Handbook
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Oct 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (13)
Paperback 522 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (13)
Master the art of engineering large language models from concept to production
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  • 9781836200062 eBook €43.99
  • 9781836200079 Paperback €54.99
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LLM Engineer's Handbook
Master the art of engineering large language models from concept to production
Description
Artificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems. Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects. By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.
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Oct 2024 522 pages
AI Assistant AI Assistant
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Author Paul Iusztin
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Mastering NLP from Foundations to LLMs
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Mastering NLP from Foundations to LLMs
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Apr 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (24)
Paperback 340 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (24)
Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
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  • 9781804616383 eBook €21.99
  • 9781804619186 Paperback €27.98
€21.99 €31.99
€27.98 €39.99
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Mastering NLP from Foundations to LLMs
Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
Description
Do you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.
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Apr 2024 340 pages
AI Assistant AI Assistant
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Authors
Author Gazit
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Responsive Web Design with HTML5 and CSS
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Responsive Web Design with HTML5 and CSS
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Sep 2022
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (57)
Paperback 498 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (57)
Build future-proof responsive websites using the latest HTML5 and CSS techniques
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  • 9781803231723 eBook €17.99
  • 9781803242712 Paperback €33.99
€17.99 €26.99
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Responsive Web Design with HTML5 and CSS
Build future-proof responsive websites using the latest HTML5 and CSS techniques
Description
Responsive Web Design with HTML5 and CSS, Fourth Edition, is a fully revamped and extended version of one of the most comprehensive and bestselling books on the latest HTML5 and CSS techniques for responsive web design. It emphasizes pragmatic application, teaching you the approaches needed to build most real-life websites, with downloadable examples in every chapter. Written in the author's friendly and easy-to-follow style, this edition covers all the newest developments and improvements in responsive web design, including approaches for better accessibility, variable fonts and font loading, and the latest color manipulation tools making their way to browsers. You can enjoy coverage of bleeding-edge features such as CSS layers, container queries, nesting, and subgrid. The book concludes by exploring some exclusive tips and approaches for front-end development from the author. By the end of the book, you will not only have a comprehensive understanding of responsive web design and what is possible with the latest HTML5 and CSS, but also the knowledge of how to best implement each technique. Read through as a complete guide or dip in as a reference for each topic-focused chapter.
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Sep 2022
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
498 pages
AI Assistant AI Assistant
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Author Ben Frain
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Python for Algorithmic Trading Cookbook
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Aug 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (15)
Paperback 404 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (15)
Recipes for designing, building, and deploying algorithmic trading strategies with Python
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  • 9781835087763 eBook €24.99
  • 9781835084700 Paperback €30.99
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€30.99 €44.99
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Python for Algorithmic Trading Cookbook
Recipes for designing, building, and deploying algorithmic trading strategies with Python
Description
Discover how Python has made algorithmic trading accessible to non-professionals with unparalleled expertise and practical insights from Jason Strimpel, founder of PyQuant News and a seasoned professional with global experience in trading and risk management. This book guides you through from the basics of quantitative finance and data acquisition to advanced stages of backtesting and live trading. Detailed recipes will help you leverage the cutting-edge OpenBB SDK to gather freely available data for stocks, options, and futures, and build your own research environment using lightning-fast storage techniques like SQLite, HDF5, and ArcticDB. This book shows you how to use SciPy and statsmodels to identify alpha factors and hedge risk, and construct momentum and mean-reversion factors. You’ll optimize strategy parameters with walk-forward optimization using VectorBT and construct a production-ready backtest using Zipline Reloaded. Implementing all that you’ve learned, you’ll set up and deploy your algorithmic trading strategies in a live trading environment using the Interactive Brokers API, allowing you to stream tick-level data, submit orders, and retrieve portfolio details. By the end of this algorithmic trading book, you'll not only have grasped the essential concepts but also the practical skills needed to implement and execute sophisticated trading strategies using Python.
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Aug 2024 404 pages
AI Assistant AI Assistant
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Author Jason Strimpel
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Principles of Data Science
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Principles of Data Science
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Jan 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (4)
Paperback 326 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (4)
A beginner's guide to essential math and coding skills for data fluency and machine learning
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  • 9781837636006 eBook €15.99
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€15.99 €23.99
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Principles of Data Science
A beginner's guide to essential math and coding skills for data fluency and machine learning
Description
Principles of Data Science bridges mathematics, programming, and business analysis, empowering you to confidently pose and address complex data questions and construct effective machine learning pipelines. This book will equip you with the tools to transform abstract concepts and raw statistics into actionable insights. Starting with cleaning and preparation, you’ll explore effective data mining strategies and techniques before moving on to building a holistic picture of how every piece of the data science puzzle fits together. Throughout the book, you’ll discover statistical models with which you can control and navigate even the densest or the sparsest of datasets and learn how to create powerful visualizations that communicate the stories hidden in your data. With a focus on application, this edition covers advanced transfer learning and pre-trained models for NLP and vision tasks. You’ll get to grips with advanced techniques for mitigating algorithmic bias in data as well as models and addressing model and data drift. Finally, you’ll explore medium-level data governance, including data provenance, privacy, and deletion request handling. By the end of this data science book, you'll have learned the fundamentals of computational mathematics and statistics, all while navigating the intricacies of modern ML and large pre-trained models like GPT and BERT.
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Jan 2024 326 pages
AI Assistant AI Assistant
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Author Sinan Ozdemir
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Machine Learning with PyTorch and Scikit-Learn
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Machine Learning with PyTorch and Scikit-Learn
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Feb 2022
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (95)
Paperback 774 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (95)
Develop machine learning and deep learning models with Python
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  • 9781801816380 eBook €22.99
  • 9781801819312 Paperback €41.99
€22.99 €32.99
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Machine Learning with PyTorch and Scikit-Learn
Develop machine learning and deep learning models with Python
Description
Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.
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Feb 2022
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
774 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Sebastian Raschka
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eBook €22.99 €32.99
Paperback €41.99
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RAG-Driven Generative AI
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RAG-Driven Generative AI
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Sep 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (13)
Paperback 334 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (13)
Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone
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  • 9781836200901 eBook €22.99
  • 9781836200918 Paperback €40.99
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RAG-Driven Generative AI
Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone
Description
RAG-Driven Generative AI provides a roadmap for building effective LLM, computer vision, and generative AI systems that balance performance and costs. This book offers a detailed exploration of RAG and how to design, manage, and control multimodal AI pipelines. By connecting outputs to traceable source documents, RAG improves output accuracy and contextual relevance, offering a dynamic approach to managing large volumes of information. This AI book shows you how to build a RAG framework, providing practical knowledge on vector stores, chunking, indexing, and ranking. You’ll discover techniques to optimize your project’s performance and better understand your data, including using adaptive RAG and human feedback to refine retrieval accuracy, balancing RAG with fine-tuning, implementing dynamic RAG to enhance real-time decision-making, and visualizing complex data with knowledge graphs. You’ll be exposed to a hands-on blend of frameworks like LlamaIndex and Deep Lake, vector databases such as Pinecone and Chroma, and models from Hugging Face and OpenAI. By the end of this book, you will have acquired the skills to implement intelligent solutions, keeping you competitive in fields from production to customer service across any project.
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Sep 2024 334 pages
AI Assistant AI Assistant
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Authors
Author Denis Rothman
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eBook €22.99 €32.99
Paperback €40.99
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Generative AI with Python and PyTorch
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Generative AI with Python and PyTorch
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Dec 2024
Paperback 500 pages
Hands-on projects and cutting-edge techniques using generative adversarial networks and LLMs
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Generative AI with Python and PyTorch
Hands-on projects and cutting-edge techniques using generative adversarial networks and LLMs
Description
Become an expert in generative AI through practical projects to leverage cutting-edge models for Natural Language Processing (NLP) and computer vision. Generative AI with Python and PyTorch, Second Edition, is your comprehensive guide to creating advanced AI applications. Leveraging Python, this book provides a detailed exploration of the latest generative AI technologies. From NLP to image generation, this edition dives into practical applications and the underlying theories that enable these technologies. By integrating the latest advancements and applications of large language models, this book prepares you to design and implement powerful AI systems that transform data into actionable insights. You’ll build your LLM toolbox by learning about various models, tools, and techniques, including GPT-4, LangChain, RLHF, LoRA, and retrieval augmented generation. This deep learning book shows you how to generate images and apply styler transfer using GANs, before implementing CLIP and diffusion models. Whether you’re creating dynamic content or developing complex AI-driven solutions, Generative AI with Python and PyTorch, Second Edition, equips you with the knowledge to use Python and AI to their full potential.
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Dec 2024 500 pages
AI Assistant AI Assistant Early Access Early Access
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Early Access: Early Access to all the eBooks as they are being written
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Author Joseph Babcock
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Hands-On Design Patterns with C++
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Hands-On Design Patterns with C++
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Jul 2023
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (11)
Paperback 626 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (11)
Solve common C++ problems with modern design patterns and build robust applications
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  • 9781804617274 eBook €20.98
  • 9781804611555 Paperback €36.99
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Hands-On Design Patterns with C++
Solve common C++ problems with modern design patterns and build robust applications
Description
C++ is a general-purpose programming language designed for efficiency, performance, and flexibility. Design patterns are commonly accepted solutions to well-recognized design problems. In essence, they are a library of reusable components, only for software architecture, and not for a concrete implementation. This book helps you focus on the design patterns that naturally adapt to your needs, and on the patterns that uniquely benefit from the features of C++. Armed with the knowledge of these patterns, you’ll spend less time searching for solutions to common problems and tackle challenges with the solutions developed from experience. You’ll also explore that design patterns are a concise and efficient way to communicate, as patterns are a familiar and recognizable solution to a specific problem and can convey a considerable amount of information with a single line of code. By the end of this book, you’ll have a deep understanding of how to use design patterns to write maintainable, robust, and reusable software.
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Jul 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
626 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Fedor G. Pikus
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eBook €20.98 €29.99
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Building LLM Powered Applications
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Building LLM Powered Applications
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May 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2 (22)
Paperback 342 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.2 (22)
Create intelligent apps and agents with large language models
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  • 9781835462638 eBook €20.98
  • 9781835462317 Paperback €25.99
€20.98 €29.99
€25.99 €37.99
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Building LLM Powered Applications
Create intelligent apps and agents with large language models
Description
Building LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer, ultimately paving the way for the emergence of large foundation models (LFMs) that extend the boundaries of AI capabilities. The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio. Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.
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May 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
342 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Valentina Alto
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eBook €20.98 €29.99
Paperback €25.99 €37.99
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OpenGL 4 Shading Language Cookbook
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OpenGL 4 Shading Language Cookbook
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Sep 2018
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.6 (9)
Paperback 472 pages
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.6 (9)
Build high-quality, real-time 3D graphics with OpenGL 4.6, GLSL 4.6 and C++17
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  • 9781789340662 eBook €20.98
  • 9781789342253 Paperback €36.99
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OpenGL 4 Shading Language Cookbook
Build high-quality, real-time 3D graphics with OpenGL 4.6, GLSL 4.6 and C++17
Description
OpenGL 4 Shading Language Cookbook, Third Edition provides easy-to-follow recipes that first walk you through the theory and background behind each technique, and then proceed to showcase and explain the GLSL and OpenGL code needed to implement them. The book begins by familiarizing you with beginner-level topics such as compiling and linking shader programs, saving and loading shader binaries (including SPIR-V), and using an OpenGL function loader library. We then proceed to cover basic lighting and shading effects. After that, you'll learn to use textures, produce shadows, and use geometry and tessellation shaders. Topics such as particle systems, screen-space ambient occlusion, deferred rendering, depth-based tessellation, and physically based rendering will help you tackle advanced topics. OpenGL 4 Shading Language Cookbook, Third Edition also covers advanced topics such as shadow techniques (including the two of the most common techniques: shadow maps and shadow volumes). You will learn how to use noise in shaders and how to use compute shaders. The book provides examples of modern shading techniques that can be used as a starting point for programmers to expand upon to produce modern, interactive, 3D computer-graphics applications.
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Sep 2018 472 pages
AI Assistant AI Assistant
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Author Wolff
Author David A Wolff
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Building Python Microservices with FastAPI
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Building Python Microservices with FastAPI
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Aug 2022
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.9 (9)
Paperback 420 pages
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.9 (9)
Build secure, scalable, and structured Python microservices from design concepts to infrastructure
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  • 9781803238791 eBook €19.99
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Building Python Microservices with FastAPI
Build secure, scalable, and structured Python microservices from design concepts to infrastructure
Description
FastAPI is an Asynchronous Server Gateway Interface (ASGI)-based framework that can help build modern, manageable, and fast microservices. Because of its asynchronous core platform, this ASGI-based framework provides the best option when it comes to performance, reliability, and scalability over the WSGI-based Django and Flask. When working with Python, Flask, and Django microservices, you’ll be able to put your knowledge to work with this practical guide to building seamlessly manageable and fast microservices. You’ll begin by understanding the background of FastAPI and learning how to install, configure, and use FastAPI to decompose business units. You’ll explore a unique and asynchronous REST API framework that can provide a better option when it comes to building microservices. After that, this book will guide you on how to apply and translate microservices design patterns in building various microservices applications and RESTful APIs using the FastAPI framework. By the end of this microservices book, you’ll be able to understand, build, deploy, test, and experiment with microservices and their components using the FastAPI framework.
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Aug 2022
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
420 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author Sherwin John C. Tragura
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eBook €19.99 €28.99
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The Software Developer's Guide to Linux
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The Software Developer's Guide to Linux
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Jan 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (24)
Paperback 300 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (24)
A practical, no-nonsense guide to using the Linux command line and utilities as a software developer
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  • 9781804612385 eBook €15.99
  • 9781804616925 Paperback €29.99
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The Software Developer's Guide to Linux
A practical, no-nonsense guide to using the Linux command line and utilities as a software developer
Description
Developers are always looking to raise their game to the next level, yet most are completely lost when it comes to the Linux command line. This book is the bridge that will take you to the next level in your software development career. Most of the skills in the book can be immediately put to work to make you a more efficient developer. It’s written specifically for software engineers, not Linux system administrators, so each chapter will equip you with just enough theory to understand what you’re doing before diving into practical commands that you can use in your day-to-day work as a software developer. As you work through the book, you’ll quickly absorb the basics of how Linux works while you get comfortable moving around the command line. Once you’ve got the core skills, you’ll see how to apply them in different contexts that you’ll come across as a software developer: building and working with Docker images, automating boring build tasks with shell scripts, and troubleshooting issues in production environments. By the end of the book, you’ll be able to use Linux and the command line comfortably and apply your newfound skills in your day-to-day work to save time, troubleshoot issues, and be the command-line wizard that your team turns to.
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Jan 2024 300 pages
AI Assistant AI Assistant
AI Assistant: Features our revolutionary AI Assistant technology which lets you interact with our Books to enhance your learning
Authors
Author David Cohen
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eBook €15.99 €23.99
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Implementing Event-Driven Microservices Architecture in .NET 7
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Mar 2023
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (16)
Paperback 326 pages
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Develop event-based distributed apps that can scale with ever-changing business demands using C# 11 and .NET 7
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Implementing Event-Driven Microservices Architecture in .NET 7
Develop event-based distributed apps that can scale with ever-changing business demands using C# 11 and .NET 7
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This book will guide you through various hands-on practical examples for implementing event-driven microservices architecture using C# 11 and .NET 7. It has been divided into three distinct sections, each focusing on different aspects of this implementation. The first section will cover the new features of .NET 7 that will make developing applications using EDA patterns easier, the sample application that will be used throughout the book, and how the core tenets of domain-driven design (DDD) are implemented in .NET 7. The second section will review the various components of a local environment setup, the containerization of code, testing, deployment, and the observability of microservices using an EDA approach. The third section will guide you through the need for scalability and service resilience within the application, along with implementation details related to elastic and autoscale components. You’ll also cover how proper telemetry helps to automatically drive scaling events. In addition, the topic of observability is revisited using examples of service discovery and microservice inventories. By the end of this book, you’ll be able to identify and catalog domains, events, and bounded contexts to be used for the design and development of a resilient microservices architecture.
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Mar 2023
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326 pages
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Author Joshua Garverick
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Managing Kubernetes Resources Using Helm
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Managing Kubernetes Resources Using Helm
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Sep 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (3)
Paperback 310 pages
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Simplifying how to build, package, and distribute applications for Kubernetes
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Managing Kubernetes Resources Using Helm
Simplifying how to build, package, and distribute applications for Kubernetes
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Containerization is one of the best ways to implement DevOps, and learning how to execute it effectively is an essential part of a developer’s skillset. Kubernetes is the current industry standard for container orchestration. This book will help you discover the efficiency of managing applications running on Kubernetes with Helm. Starting with a brief introduction to Helm and its impact on users working with containers and Kubernetes, you’ll delve into the primitives of Helm charts and their architecture and use cases. From there, you’ll understand how to write Helm charts in order to automate application deployment on Kubernetes and work your way toward more advanced strategies. These enterprise-ready patterns are focused on concepts beyond the basics so that you can use Helm optimally, looking at topics related to automation, application development, delivery, lifecycle management, and security. By the end of this book, you’ll have learned how to leverage Helm to build, deploy, and manage applications on Kubernetes.
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Sep 2022 310 pages
AI Assistant AI Assistant
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Author Andrew Block
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CompTIA Security+ SY0-701 Certification Guide
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Jan 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (226)
Paperback 634 pages
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Master cybersecurity fundamentals and pass the SY0-701 exam on your first attempt
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CompTIA Security+ SY0-701 Certification Guide
Master cybersecurity fundamentals and pass the SY0-701 exam on your first attempt
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Building on the success of its international bestselling predecessor, this third edition of the CompTIA Security+ SY0-701 Certification Guide serves as your one-stop resource for Security+ exam preparation. Written by cybersecurity expert Ian Neil, this comprehensive guide helps you unlock the intricacies of cybersecurity and understand the technology behind the CompTIA Security+ SY0-701 certification, ensuring you approach the exam with confidence and pass on your first attempt. By exploring security in detail, this book introduces essential principles, controls, and best practices. The chapters are meticulously designed to provide 100% coverage of the CompTIA Security+ SY0-701 exam objectives, ensuring you have the most up-to-date and relevant study material. By mastering cybersecurity fundamentals, you’ll acquire the knowledge and skills to identify and mitigate threats, manage vulnerabilities, and safeguard enterprise infrastructure. Additionally, the book grants lifetime access to web-based exam prep tools, including 3 full-length mock exams, flashcards, acronyms, along with a 12% Security+ exam discount voucher. Whether you aim to excel the CompTIA Security+ SY0-701 exam, advance your career in cybersecurity, or enhance your existing knowledge, this book will transform you into a cybersecurity expert.
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Jan 2024 634 pages
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Hands-On Reinforcement Learning with Python
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Jun 2018
Full star icon Full star icon Half star icon Empty star icon Empty star icon 2.6 (18)
Paperback 318 pages
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Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
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Hands-On Reinforcement Learning with Python
Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
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Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. Hands-On Reinforcement learning with Python will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. This example-rich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning. By the end of the book, you will have all the knowledge and experience needed to implement reinforcement learning and deep reinforcement learning in your projects, and you will be all set to enter the world of artificial intelligence.
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Jun 2018 318 pages
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Author Sudharsan Ravichandiran
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C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals
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Nov 2024
Paperback 828 pages
Start building websites and services with ASP.NET Core 9, Blazor, and EF Core 9
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C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals
Start building websites and services with ASP.NET Core 9, Blazor, and EF Core 9
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This Packt bestseller continues to be the definitive guide to modern cross-platform development. The 9th edition of C# 13 and .NET 9 – Modern Cross-Platform Development Fundamentals has been updated to cover the latest features and improvements in .NET 9 and C# 13. You'll start by mastering object-oriented programming, learning how to write, test, and debug functions, and implementing interfaces. You'll then dive into .NET APIs for data management, filesystem operations, and serialization. This latest edition integrates .NET 9 enhancements into its examples: faster exceptions and new LINQ methods. New ASP.NET Core 9 features include optimized static assets, built-in OpenAPI document generation, and the HybridCache. Practical examples, such as building websites and services with ASP.NET Core, have been refreshed to utilize the latest .NET 9 features. The book also introduces Blazor, with its new unified hosting model for unparalleled code reusability. With these updates, you'll learn how to build robust applications and services efficiently and effectively. By the end of this book, you'll have the knowledge and confidence to create professional and high-performance web applications using the latest technologies in C# 13 and .NET 9.
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Nov 2024 828 pages
AI Assistant AI Assistant
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Author Mark J. Price
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C# 12 and .NET 8 – Modern Cross-Platform Development Fundamentals
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Nov 2023
Full star icon Full star icon Full star icon Full star icon Half star icon 4.4 (72)
Paperback 828 pages
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Start building websites and services with ASP.NET Core 8, Blazor, and EF Core 8
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C# 12 and .NET 8 – Modern Cross-Platform Development Fundamentals
Start building websites and services with ASP.NET Core 8, Blazor, and EF Core 8
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This latest edition of the bestselling Packt series will give you a solid foundation to start building projects using modern C# and .NET with confidence. You'll learn about object-oriented programming; writing, testing, and debugging functions; and implementing interfaces. You'll take on .NET APIs for managing and querying data, working with the fi lesystem, and serialization. As you progress, you'll explore examples of cross-platform projects you can build and deploy, such as websites and services using ASP.NET Core. This latest edition integrates .NET 8 enhancements into its examples: type aliasing and primary constructors for concise and expressive code. You'll handle errors robustly through the new built-in guard clauses and explore a simplified implementation of caching in ASP.NET Core 8. If that's not enough, you'll also see how native ahead-of-time (AOT) compiler publish lets web services reduce memory use and run faster. You'll work with the seamless new HTTP editor in Visual Studio 2022 to enhance the testing and debugging process. You'll even get introduced to Blazor Full Stack with its new unified hosting model for unparalleled web development flexibility.
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Nov 2023
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5
828 pages
AI Assistant AI Assistant
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Author Mark J. Price
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Building Production-Grade Web Applications with Supabase
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Building Production-Grade Web Applications with Supabase
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Aug 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (8)
Paperback 534 pages
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A comprehensive guide to database design, security, real-time data, storage, multi-tenancy, and more
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Building Production-Grade Web Applications with Supabase
A comprehensive guide to database design, security, real-time data, storage, multi-tenancy, and more
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Discover the powerful capabilities of Supabase, the cutting-edge, open-source platform flipping the script on backend architecture. Guided by David Lorenz, a battle-tested software architect with over two decades of development experience, this book will transform the way you approach your projects and make you a Supabase expert. In this comprehensive guide, you'll build a secure, production-grade multi-tenant ticket system, seamlessly integrated with Next.js. You’ll build essential skills for effective data manipulation, authentication, and file storage, as well as master Supabase's advanced capabilities including automating tasks with cron scheduling, performing similarity searches with artificial intelligence, testing your database, and leveraging real-time updates. By the end of the book, you'll have a deeper understanding of the platform and be able to confidently utilize Supabase in your own web applications, all thanks to David's excellent expertise.
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Aug 2024 534 pages
AI Assistant AI Assistant
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Author David Lorenz
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AI-Assisted Programming for Web and Machine Learning
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AI-Assisted Programming for Web and Machine Learning
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Aug 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (9)
Paperback 602 pages
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Improve your development workflow with ChatGPT and GitHub Copilot
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AI-Assisted Programming for Web and Machine Learning
Improve your development workflow with ChatGPT and GitHub Copilot
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AI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks. Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code. Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases. The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.
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Aug 2024 602 pages
AI Assistant AI Assistant
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Author Christoffer Noring
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Python Machine Learning By Example
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Jul 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (8)
Paperback 518 pages
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Unlock machine learning best practices with real-world use cases
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Python Machine Learning By Example
Unlock machine learning best practices with real-world use cases
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The fourth edition of Python Machine Learning By Example is a comprehensive guide for beginners and experienced machine learning practitioners who want to learn more advanced techniques, such as multimodal modeling. Written by experienced machine learning author and ex-Google machine learning engineer Yuxi (Hayden) Liu, this edition emphasizes best practices, providing invaluable insights for machine learning engineers, data scientists, and analysts. Explore advanced techniques, including two new chapters on natural language processing transformers with BERT and GPT, and multimodal computer vision models with PyTorch and Hugging Face. You’ll learn key modeling techniques using practical examples, such as predicting stock prices and creating an image search engine. This hands-on machine learning book navigates through complex challenges, bridging the gap between theoretical understanding and practical application. Elevate your machine learning and deep learning expertise, tackle intricate problems, and unlock the potential of advanced techniques in machine learning with this authoritative guide.
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Jul 2024 518 pages
AI Assistant AI Assistant
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Author Yuxi (Hayden) Liu
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Solutions Architect's Handbook
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Mar 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (53)
Paperback 578 pages
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Kick-start your career with architecture design principles, strategies, and generative AI techniques
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Solutions Architect's Handbook
Kick-start your career with architecture design principles, strategies, and generative AI techniques
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Master the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.
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Mar 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
578 pages
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Author Saurabh Shrivastava
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Flutter Design Patterns and Best Practices
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Flutter Design Patterns and Best Practices
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Sep 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (3)
Paperback 362 pages
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Build scalable, maintainable, and production-ready apps using effective architectural principles
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Flutter Design Patterns and Best Practices
Build scalable, maintainable, and production-ready apps using effective architectural principles
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Flutter’s rapid adoption by developers and businesses alike has led to an increased demand for skilled developers who can deliver high-quality Flutter apps. Flutter can be a great tool to develop apps for yourself, but you don’t always need to consider things like scalability or business goals as a hobbyist. When you build apps for a business, however, you must use specific tools to help the business achieve its goals. This requires solutions to be fast, reliable, and delivered on time. This book will help you meet these business requirements. You'll begin by learning how to build responsive UIs that work on all devices. Next, you'll delve into state management, understanding how to select the appropriate solution and gaining hands-on experience with InheritedWidget, ChangeNotifier, and BLoC. Later, you'll move on to high-level practices such as layered architecture, dependency injection, and repository patterns. The book will also show you how to develop features of any complexity, such as multithreading and native layer implementations. You'll also learn how to ensure the quality of your solutions by prioritizing testing. By the end of this book, you'll be able to deliver well-architected Flutter projects that are stable, scalable, and maintainable.
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Sep 2024 362 pages
AI Assistant AI Assistant
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Author Daria Orlova
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Unlocking Data with Generative AI and RAG
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Unlocking Data with Generative AI and RAG
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Sep 2024
Paperback 346 pages
Enhance generative AI systems by integrating internal data with large language models using RAG
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Unlocking Data with Generative AI and RAG
Enhance generative AI systems by integrating internal data with large language models using RAG
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Generative AI is helping organizations tap into their data in new ways, with retrieval-augmented generation (RAG) combining the strengths of large language models (LLMs) with internal data for more intelligent and relevant AI applications. The author harnesses his decade of ML experience in this book to equip you with the strategic insights and technical expertise needed when using RAG to drive transformative outcomes. The book explores RAG’s role in enhancing organizational operations by blending theoretical foundations with practical techniques. You’ll work with detailed coding examples using tools such as LangChain and Chroma’s vector database to gain hands-on experience in integrating RAG into AI systems. The chapters contain real-world case studies and sample applications that highlight RAG’s diverse use cases, from search engines to chatbots. You’ll learn proven methods for managing vector databases, optimizing data retrieval, effective prompt engineering, and quantitatively evaluating performance. The book also takes you through advanced integrations of RAG with cutting-edge AI agents and emerging non-LLM technologies. By the end of this book, you’ll be able to successfully deploy RAG in business settings, address common challenges, and push the boundaries of what’s possible with this revolutionary AI technique.
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Sep 2024 346 pages
AI Assistant AI Assistant
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Author Keith Bourne
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Time Series Analysis with Python Cookbook
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Time Series Analysis with Python Cookbook
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Apr 2025
Paperback 98 pages
Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
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Time Series Analysis with Python Cookbook
Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation
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To use time series data to your advantage, you need to be well-versed in data preparation, analysis, and forecasting. This fully updated second edition includes chapters on probabilistic models and signal processing techniques, as well as new content on transformers. Additionally, you will leverage popular libraries and their latest releases covering Pandas, Polars, Sktime, stats models, stats forecast, Darts, and Prophet for time series with new and relevant examples. You'll start by ingesting time series data from various sources and formats, and learn strategies for handling missing data, dealing with time zones and custom business days, and detecting anomalies using intuitive statistical methods. Further, you'll explore forecasting using classical statistical models (Holt-Winters, SARIMA, and VAR). Learn practical techniques for handling non-stationary data, using power transforms, ACF and PACF plots, and decomposing time series data with multiple seasonal patterns. Then we will move into more advanced topics such as building ML and DL models using TensorFlow and PyTorch, and explore probabilistic modeling techniques. In this part, you’ll also learn how to evaluate, compare, and optimize models, making sure that you finish this book well-versed in wrangling data with Python.
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Apr 2025 98 pages
AI Assistant AI Assistant Early Access Early Access
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Early Access: Early Access to all the eBooks as they are being written
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Author Tarek A. Atwan
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Pandas Cookbook
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Pandas Cookbook
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Oct 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (4)
Paperback 404 pages
Full star icon Full star icon Full star icon Full star icon Half star icon 4.8 (4)
Practical recipes for scientific computing, time series, and exploratory data analysis using Python
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Pandas Cookbook
Practical recipes for scientific computing, time series, and exploratory data analysis using Python
Description
The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter. With this latest edition unlock the full potential of pandas 2.x onwards. Whether you're a beginner or an experienced data analyst, this book offers a wealth of practical recipes to help you excel in your data analysis projects. This cookbook covers everything from fundamental data manipulation tasks to advanced techniques for handling big data, visualization, and more. Each recipe is designed to address common real-world challenges, providing clear explanations and step-by-step instructions to guide you through the process. Explore cutting-edge topics such as idiomatic pandas coding, efficient handling of large datasets, and advanced data visualization techniques.  Whether you're looking to sharpen or expand your skills, the "Pandas Cookbook" is your essential companion for mastering data analysis and manipulation with pandas 2.x, and beyond.
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Oct 2024 404 pages
AI Assistant AI Assistant
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Author William Ayd
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Django 5 By Example
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Django 5 By Example
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Apr 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5 (35)
Paperback 820 pages
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Build powerful and reliable Python web applications from scratch
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Django 5 By Example
Build powerful and reliable Python web applications from scratch
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If you want to learn Django by doing, this book is for you. Django 5 By Example is the fifth edition of the best-selling franchise that helps you build real-world web apps. This book will walk you through planning and creation, solving common problems, and implementing best practices using a step-by-step approach. You’ll cover a wide range of web application development topics through four different projects: a blog application, a social website, an e-commerce application, and an e-learning platform. Pick up what’s new in Django 5 as you build end-to-end Python web apps, follow detailed project plans, and understand the hows and whys of Django. This is a practical and approachable book that will have you creating web apps quickly.
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Apr 2024
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
820 pages
AI Assistant AI Assistant
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Author Antonio Melé
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Engineering MLOps
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Engineering MLOps
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Sep 2025
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Rapidly build, test, and manage production-ready machine learning life cycles at scale on Azure
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Engineering MLOps
Rapidly build, test, and manage production-ready machine learning life cycles at scale on Azure
Description
Getting machine learning (ML) models into production continues to remain challenging using traditional software development methods. This book highlights the changing trends of software development over time and solves the problem of integrating ML with traditional software using MLOps. In this new edition of Engineering MLOps, Emmanuel Raj demystifies MLOps to equip you with the skills needed to build your own MLOps pipelines using -of-the-art tools (MLFlow, DVC, KubeFlow, Locust.io, Docker, Kubernetes, Apache Spark, to name a few) and platforms. You will start by learning the essentials of ML engineering and build ML pipelines to train and deploy models. The book then covers how to implement an MLOps solution for a real-life business problem using Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), as well as cloud agnostic tools. You'll also understand how to build continuous integration/deployment (CI/CD) and continuous delivery pipelines to build, test, deploy, and monitor your models. By the end of the book, you will become proficient at building, deploying, and monitoring any ML model with the MLOps process using any tool or platform.
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Sep 2025
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Author Emmanuel Raj
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Kubernetes – An Enterprise Guide
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Kubernetes – An Enterprise Guide
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Aug 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (11)
Paperback 682 pages
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Master containerized application deployments, integrate enterprise systems, and achieve scalability
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  • 9781835081754 eBook €22.99
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Kubernetes – An Enterprise Guide
Master containerized application deployments, integrate enterprise systems, and achieve scalability
Description
Stay at the forefront of cloud-native technologies with the eagerly awaited Kubernetes – An Enterprise Guide, Third Edition. Delve deep into Kubernetes and emerge with the latest insights to conquer today's dynamic enterprise challenges. This meticulously crafted edition equips you with the latest insights to skillfully navigate the twists and turns of ever-evolving cloud technology. Experience a more profound exploration of advanced Kubernetes deployments, revolutionary techniques, and expert strategies that redefine your cloud-native skill set. Discover cutting-edge topics reshaping the technological frontier like virtual clusters, container security, and secrets management. Gain an edge by mastering these critical aspects of Kubernetes and propelling your enterprise to new heights. Expertly harness Kubernetes' power for business-critical applications with insider techniques. Smoothly transition to microservices with Istio, excel at modern deployments with GitOps/CI/CD, and bolster security with OPA/Gatekeeper and KubeArmor. Integrate Kubernetes with leading tools for maximum impact in a competitive landscape. Stay ahead of the technology curve with cutting-edge strategies for innovation and growth. Redefine cloud-native excellence with this definitive guide to leveraging Kubernetes.
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Aug 2024 682 pages
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Authors
Author Marc Boorshtein
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Mastering PyTorch
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Mastering PyTorch
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May 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7 (18)
Paperback 558 pages
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Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
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  • 9781801079969 eBook €21.99
  • 9781801074308 Paperback €26.99
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€26.99 €38.99
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Mastering PyTorch
Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
Description
PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models. You’ll build convolutional neural networks for image classification and recurrent neural networks and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation, using generative models, including diffusion models. You'll not only build and train your own deep reinforcement learning models in PyTorch but also learn to optimize model training using multiple CPUs, GPUs, and mixed-precision training. You’ll deploy PyTorch models to production, including mobile devices. Finally, you’ll discover the PyTorch ecosystem and its rich set of libraries. These libraries will add another set of tools to your deep learning toolbelt, teaching you how to use fastai to prototype models and PyTorch Lightning to train models. You’ll discover libraries for AutoML and explainable AI (XAI), create recommendation systems, and build language and vision transformers with Hugging Face. By the end of this book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.
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May 2024 558 pages
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Author Ashish Ranjan Jha
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eBook €21.99 €31.99
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AWS Cloud Projects
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AWS Cloud Projects
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Oct 2024
Paperback 266 pages
Strengthen your AWS skills through practical projects, from websites to advanced AI applications
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  • 9781835889299 eBook €15.99
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AWS Cloud Projects
Strengthen your AWS skills through practical projects, from websites to advanced AI applications
Description
Tired of resumes that get lost in the pile? This book is your roadmap to creating an in-demand AWS portfolio that grabs attention and gets you hired. This comprehensive guide unlocks the vast potential of AWS for developers of all levels. Inside, you'll find invaluable guidance for crafting stunning websites with S3, CloudFront, and Route53. You’ll build robust and scalable applications, such as recipe-sharing platforms, using DynamoDB and Elastic Load Balancing. For streamlined efficiency, the book will teach you how to develop serverless architectures with AWS Lambda and Cognito. Gradually, you’ll infuse your projects with artificial intelligence by creating a photo analyzer powered by Amazon Rekognition. You’ll also automate complex workflows for seamless content translation using Translate, CodePipeline, and CodeBuild. Later, you’ll construct intelligent virtual assistants with Amazon Lex and Bedrock to answer web development queries. The book will also show you how to visualize your data with insightful dashboards built using Athena, Glue, and QuickSight. By the end of this book, you’ll be ready to take your projects to the next level and succeed in the dynamic world of cloud computing.
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Oct 2024 266 pages
AI Assistant AI Assistant
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Authors
Author Ivo Pinto
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eBook €15.99 €23.99
Paperback €31.99
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The AI Marketing Playbook
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Oct 2024
EBook 296 pages
Mastering the Latest AI Tools and Techniques for Next-Gen Marketing Success
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The AI Marketing Playbook
Mastering the Latest AI Tools and Techniques for Next-Gen Marketing Success
Description
This book offers a comprehensive guide to integrating AI into modern marketing strategies, transforming how businesses engage with audiences. It begins with an overview of AI’s role in marketing, its evolution, and its benefits in driving innovation. Early chapters cover foundational topics like AI, machine learning, and data preparation for effective AI implementation. The book then explores practical applications, such as analyzing customer behavior for personalized experiences and using AI-powered chatbots for improved customer service. You’ll learn to apply image and video recognition for visual marketing and leverage AI for social media strategies that boost engagement. The book also covers predictive analytics, AI-driven email marketing, and techniques to optimize SEO and content marketing. Further chapters focus on automating marketing processes and using AI to support sales enablement with actionable insights. The final chapter discusses ethical considerations and the future of AI in marketing, emphasizing the balance between automation and human creativity. This book equips marketing professionals and business leaders with the tools to harness AI’s potential for impactful marketing strategies.
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Oct 2024 296 pages
AI Assistant AI Assistant
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Author Mercury Learning and Information
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eBook €33.99
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React and React Native
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React and React Native
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Apr 2024
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (9)
Paperback 508 pages
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Build cross-platform JavaScript and TypeScript apps for the web, desktop, and mobile
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  • 9781805126874 eBook €17.99
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React and React Native
Build cross-platform JavaScript and TypeScript apps for the web, desktop, and mobile
Description
Welcome to your big-picture guide to the React ecosystem. If you’re new to React and looking to become a professional React developer, this book is for you. This updated fifth edition reflects the current state of React, including React framework coverage as well as TypeScript. Part 1 introduces you to React. You’ll discover JSX syntax, hooks, functional components, and event handling, learn techniques to fetch data from a server, and tackle the tricky problem of state management. Once you’re comfortable with writing React in JavaScript, you’ll pick up TypeScript development in later chapters. Part 2 transitions you into React Native for mobile development. React Native goes hand-in-hand with React. With your React knowledge behind you, you’ll appreciate where and how React Native differs as you write shared components for Android and iOS apps. You’ll learn how to build responsive layouts, use animations, and implement geolocation. By the end of this book, you’ll have a big-picture view of React and React Native and be able to build applications with both.
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Apr 2024
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508 pages
AI Assistant AI Assistant
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Author Roy Derks
Author Mikhail Sakhniuk
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Apache Spark for Machine Learning
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Nov 2024
Paperback 306 pages
Build and deploy high-performance big data AI solutions for large-scale clusters
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  • 9781835460016 eBook €15.99
  • 9781804618165 Paperback €29.99
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Apache Spark for Machine Learning
Build and deploy high-performance big data AI solutions for large-scale clusters
Description
In the world of big data, efficiently processing and analyzing massive datasets for machine learning can be a daunting task. Written by Deepak Gowda, a data scientist with over a decade of experience and 30+ patents, this book provides a hands-on guide to mastering Spark’s capabilities for efficient data processing, model building, and optimization. With Deepak’s expertise across industries such as supply chain, cybersecurity, and data center infrastructure, he makes complex concepts easy to follow through detailed recipes. This book takes you through core machine learning concepts, highlighting the advantages of Spark for big data analytics. It covers practical data preprocessing techniques, including feature extraction and transformation, supervised learning methods with detailed chapters on regression and classification, and unsupervised learning through clustering and recommendation systems. You’ll also learn to identify frequent patterns in data and discover effective strategies to deploy and optimize your machine learning models. Each chapter features practical coding examples and real-world applications to equip you with the knowledge and skills needed to tackle complex machine learning tasks. By the end of this book, you’ll be ready to handle big data and create advanced machine learning models with Apache Spark.
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Nov 2024 306 pages
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Author Deepak Gowda
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Mastering Windows Privilege Escalation
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Mastering Windows Privilege Escalation
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Apr 2026
Paperback 171 pages
Reveal Windows' secrets and explore artful access methods
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Mastering Windows Privilege Escalation
Reveal Windows' secrets and explore artful access methods
Description
Mastering Windows Privilege Escalation is a comprehensive guide that delves into the significance of privilege escalation, explores Windows security mechanisms, and provides practical insights into bypassing security barriers. This book takes you on a comprehensive journey through the intricate world of privilege escalation. Starting with an introduction to privilege escalation concepts and Windows security mechanisms, the book gradually progresses to cover essential topics such as lab setup and environment preparation, enumeration techniques, gaining an initial foothold, kernel exploits, token impersonation, password-based escalation, and much more. Each chapter is meticulously crafted with hands-on labs to enhance practical understanding. It also provides insights into detection and mitigation techniques, empowering you to fortify your defenses against privilege escalation risks. By the end of this book, readers will have developed a mastery of Windows Privilege Escalation. You will get a deep understanding of privilege escalation concepts, Windows security mechanisms, and access control models. Ultimately, you will emerge as proficient practitioners in detecting and mitigating privilege escalation risks, empowering them to safeguard digital environments and take command of their cybersecurity journey.
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Apr 2026 171 pages
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Author Asmaa Kotb
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