MATLAB for Machine Learning: Unlock the power of deep learning for swift and enhanced results , Second Edition

Giuseppe Ciaburro

₱2551.99

4.8 (4 Ratings)

Paperback Jan 2024 374 pages 2nd Edition

eBook

₱1427.99 ~~₱2040.99~~

Giuseppe Ciaburro

₱2551.99

4.8 (4 Ratings)

Paperback Jan 2024 374 pages 2nd Edition

eBook

₱1427.99 ~~₱2040.99~~

₱1427.99 ~~₱2040.99~~

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Key benefits

Work with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithms
Evaluate, deploy, and operationalize your custom models, incorporating bias detection and pipeline monitoring
Uncover effective approaches to deep learning for computer vision, time series analysis, and forecasting
Purchase of the print or Kindle book includes a free PDF eBook

Description

Discover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications. By navigating the versatile machine learning tools in the MATLAB environment, you’ll learn how to seamlessly interact with the workspace. You’ll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you’ll explore various classification and regression techniques, skillfully applying them with MATLAB functions. This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You’ll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you’ll leverage MATLAB tools for deep learning and managing convolutional neural networks. By the end of the book, you’ll be able to put it all together by applying major machine learning algorithms in real-world scenarios.

Who is this book for?

This book is for ML engineers, data scientists, DL engineers, and CV/NLP engineers who want to use MATLAB for machine learning and deep learning. A fundamental understanding of programming concepts is necessary to get started.

What you will learn

Discover different ways to transform data into valuable insights
Explore the different types of regression techniques
Grasp the basics of classification through Naive Bayes and decision trees
Use clustering to group data based on similarity measures
Perform data fitting, pattern recognition, and cluster analysis
Implement feature selection and extraction for dimensionality reduction
Harness MATLAB tools for deep learning exploration

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What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

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DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
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H2N Mar 11, 2024

Just a few books using Matlab now on the market. The book is recommended for ML engineers and data scientists who wants to use MATLAB for machine learning and deep learning. The book starts with an introduction to ML in MATLAB, followed by chapters on data management, classification and regression, clustering analysis, dimensionality reduction, deep learning, natural language processing, image processing, time series analysis, recommender systems and anomaly detection. Each chapter provides practical examples in ML and DL.

Amazon Verified review

Alex Jun 24, 2024

The book provides an easy to follow path in the complicated world of ML. It provides the background, balanced between code examples, the fundamentals and math, filling potential gaps for the readers, before going deeper into a very diverse set of capabilities. The book discusses computer vision, language model, regression and other application, touching on the theoretical sides of supervised learning and unsupervised learning, and provides basic coding examples, that combine into a very comprehensive list of solutions to real-world problems.The book is recommended to previous Matlab users that seek an entry point in the ML world, or new users where the book will provide a great starting point to their Matlab experience.

Om S Mar 12, 2024

MATLAB for Machine Learning is a easy to follow book for anyone keen on learning about machine learning with MATLAB. It's packed with practical examples and clear explanations, making complex concepts easy to grasp. With step-by-step guidance, it's suitable for beginners and experienced learners alike. It's a valuable resource for those looking to apply machine learning techniques in real-world scenarios.Ideal for ML engineers, data scientists, DL engineers, and CV/NLP engineers interested in using MATLAB for machine learning and deep learning. Basic programming knowledge is necessary to get started. Happy MATLAB.

ivan Feb 25, 2024

The book "MATLAB for Machine Learning" by Dr. Guiseppe Ciaburro is written lucidly and easy to follow. If you have a Matlab background and are interested in developing programming skills around machine learning using Matlab, this book is an excellent guide. It begins with a nice description of machine learning and the different learning processes necessary to build machine learning models (i.e., clustering, dimensionality reduction, classification, regression). It also provides examples of how to work with data in different formats and do exploratory data analysis. A nice touch is the chapters that introduce neural networks and deep learning. From there, the book takes you through practical case scenarios to dive deep into how you can use machine learning to solve these challenges. Since this book offers many exciting ideas and examples of leveraging Matlab for machine learning, I recommend it to those interested in honing their programmatic skills in Matlab.

MATLAB for Machine Learning: Unlock the power of deep learning for swift and enhanced results , Second Edition

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