Preface

Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields, such as search engines, robotics, self-driving cars, and so on. In this book, you will explore various real-life scenarios where you can use machine learning. You will understand what algorithms you should use in a given context using this exciting recipe-based guide.

This book starts by talking about various realms in machine learning followed by practical examples. We then move on to discuss more complex algorithms, such as Support Vector Machines, Extremely Random Forests, Hidden Markov Models, Conditional Random Fields, Deep Neural Networks, and so on. This book is for Python programmers looking to use machine ...

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