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The Hitchhiker's Guide to Machine Learning Algorithms: 100+ Machine Learning Algorithms Explained So Simply Even a Human Can Understand

Hello humans & welcome to the world of machines!

Specifically, machine learning & algorithms.

We are about to embark on an exciting adventure through the vast and varied landscape of algorithms that power the cutting-edge field of artificial intelligence.

Machine learning is changing the world as we know it.

From predicting stock market trends and diagnosing diseases to powering the virtual assistants in our smartphones and enabling self-driving cars, and picking up the slack on your online dating conversations.

What makes this book unique is its structure and depth. With 100 chapters, each dedicated to a different machine learning concept, this book is designed to be your ultimate guide to the world of machine learning algorithms.

Whether you are a student, a data science professional, or someone curious about machine learning, this book aims to provide a comprehensive overview that is both accessible and in-depth.

The algorithms covered in this book span various categories including:

Each chapter is designed as a standalone introduction to its respective algorithm. This means you can start from any chapter that catches your interest or proceed sequentially. Along with the theory, practical examples, applications, and insights into how these algorithms work under the hood are provided.

This book is not just an academic endeavor but a bridge that connects theory with practical real-world applications.

It's an invitation to explore, learn, and harness the power of algorithms to solve complex problems and make informed decisions.

Fasten your seat belts as we dive into the mesmerizing world of machine learning algorithms.

Whether you are looking to expand your knowledge, seeking inspiration, or in pursuit of technical mastery, this book should sit on your coffee table and make you look intelligent in front of all invited (and uninvited) guests.

You can also read the online version here: The Hitchhiker's Guide to Machine Learning Algorithms


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