August 2017
Beginner to intermediate
382 pages
8h 44m
English
Overview
Learn the art of creating machine learning models and processing data efficiently with MATLAB. In this book, you will explore various techniques such as regression analysis, clustering, classification, and neural networks, all in the MATLAB environment. Each topic is detailed with practical examples for clear understanding and immediate application.
What this Book will help me do
- Understand the key concepts of machine learning and how they integrate with MATLAB.
- Learn to preprocess and transform data for effective machine learning workflows.
- Explore regression methods and apply them to analyze and predict trends in your data.
- Master classification and clustering techniques for model creation and data categorization.
- Gain expertise in using MATLAB Neural Network Toolbox for building neural network-based solutions.
Author(s)
None Kolluru and Giuseppe Ciaburro are seasoned experts in using MATLAB for data analysis and machine learning. With years of experience in research and teaching, they have meticulously curated this book to bridge concepts of theory with real-world applications. Their writing approach is clear, instructional, and focused on equipping learners with practical skills.
Who is it for?
This book is ideal for data analysts, aspiring data scientists, and students eager to delve into machine learning using MATLAB. Even if you're new to the field, you'll find the instructions gentle yet comprehensive to help you follow along. However, having some background in math and statistics will definitely enhance your learning experience. If you're passionate about data and its insights, this is the guide for you.
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