Table of Contents
Preface
Part 1: Getting Started with Matlab
1
Exploring MATLAB for Machine Learning
Technical requirements
Introducing ML
How to define ML
Analysis of logical reasoning
Learning strategy typologies
Discovering the different types of learning processes
Supervised learning
Unsupervised learning
Reinforcement learning
Semi-supervised learning
Transfer learning
Using ML techniques
Selecting the ML paradigm
Step-by-step guide on how to build ML models
Exploring MATLAB toolboxes for ML
Statistics and Machine Learning Toolbox
Deep Learning Toolbox
Reinforcement Learning Toolbox
Computer Vision Toolbox
Text Analytics Toolbox
ML applications in real life
Summary
2
Working with Data in MATLAB
Technical requirements
Importing data into ...
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