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Key benefits

Gain proficiency in AWS machine learning services to excel in the MLS-C01 exam

Build model training and inference pipelines and deploy machine learning models to the AWS cloud

Practice on the go with the mobile-friendly bonus website, accessible with the book

Purchase of the print or Kindle book includes a free PDF eBook

Description

The AWS Certified Machine Learning Specialty (MLS-C01) exam evaluates your ability to execute machine learning tasks on AWS infrastructure. This comprehensive book aligns with the latest exam syllabus, offering practical examples to support your real-world machine learning projects on AWS. Additionally, you'll get lifetime access to supplementary online resources, including mock exams with exam-like timers, detailed solutions, interactive flashcards, and invaluable exam tips, all accessible across various devices—PCs, tablets, and smartphones. Throughout the book, you’ll learn data preparation techniques for machine learning, covering diverse methods for data manipulation and transformation across different variable types. Addressing challenges such as missing data and outliers, the book guides you through an array of machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, text mining, and image processing, accompanied by requisite machine learning algorithms essential for exam success. The book helps you master the deployment of models in production environments and their subsequent monitoring. Equipped with insights from this book and the accompanying mock exams, you'll be fully prepared to achieve the AWS MLS-C01 certification.

Who is this book for?

This book is designed for both students and professionals preparing for the AWS Certified Machine Learning Specialty exam or enhance their understanding of machine learning, with a specific emphasis on AWS. Familiarity with machine learning basics and AWS services is recommended to fully benefit from this book.

What you will learn

Identify ML frameworks for specific tasks

Apply CRISP-DM to build ML pipelines

Combine AWS services to build AI/ML solutions

Apply various techniques to transform your data, such as one-hot encoding, binary encoder, ordinal encoding, binning, and text transformations

Visualize relationships, comparisons, compositions, and distributions in the data

Use data preparation techniques and AWS services for batch and real-time data processing

Create training and inference ML pipelines with Sage Maker

Deploy ML models in a production environment efficiently

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide

€33.99

€37.99

The Machine Learning Solutions Architect Handbook

€37.99

Total € 109.97

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Cinthya Cabanzo Apr 23, 2024

One of the most commendable aspects of this guide is its seamless integration of visual elements. From comparative tables reminiscent of the S3 Storage breakdown to visually engaging examples simplifying intricate topics, every visual component serves to enhance understanding and facilitate deeper learning.Beyond its visual appeal, the guide is enriched by the inclusion of best practice notes, offering actionable insights distilled from real-world scenarios. These notes not only provide theoretical knowledge but also bridge the gap between concept and application, preparing readers for the challenges they may encounter in practical settings.Structured with precision, each chapter concludes with a comprehensive review section featuring revision questions. These questions serve as invaluable tools for reinforcing comprehension and assessing readiness for the certification exam, mirroring its format and rigor.

Amazon Verified review

Tiny Mar 05, 2024

Great focused book on everything you need to know to pass your MLS-CO1 test. Not just good for that exam but a large amount of gernal knowledge that helps anyone with their ML needs. Good step by step examples, questions in every chapter, and guides to sample tests before you pay money and take the actual test.

Rafael M Koike Mar 20, 2024

The book is very comprehensive in terms of storage services, security settings and big data. It will get you prepared to operate as a big data engineer and the AWS ML cert exam.If you are not skilled in the big-data area, I recommend reading this book end-to-end. It will provide you with excellent information to start discussing projects with your peers in your job. If you are already in the big data area. It is a good reference book to get some insights into design patterns and ways to process data.

Dieter Mar 05, 2024

This guide serves as an indispensable resource for anyone preparing for the AWS Certified Machine Learning - Specialty (MLS-C01) examination. With its detailed exploration of machine learning fundamentals, extensive coverage of AWS services for data storage, processing, migration, and in-depth discussion on model evaluation, optimization, and deployment, the book equips readers with the knowledge and skills necessary to excel in the exam and in real-world applications.Three Key Takeaways:- Fundamental ML Concepts and AWS Integration: The book provides a solid foundation in machine learning principles while demonstrating how to leverage AWS services for effective ML implementation.- Data Handling and Processing: It offers practical insights into managing, storing, and processing data using AWS, highlighting the importance of data quality and preparation in ML projects.- Model Deployment and Optimization: Readers learn strategies for evaluating, optimizing, and deploying machine learning models on AWS, ensuring they are production-ready and scalable.This guide not only prepares candidates for certification but also enriches their understanding of applying machine learning on AWS, making it a valuable asset for both beginners and experienced practitioners in the field.

Albert Bellamy Jul 29, 2024

The media could not be loaded. Pick this one up for sure.

AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide: The ultimate guide to passing the MLS-C01 exam on your first attempt , Second Edition

What do you get with eBook?