Machine Learning - A Practical Guide

After reading this book, you will learn:

What is Machine Learning?

Get a solid introduction to the fundamentals of machine learning — what it is, how it works, and why it matters. This section provides the essential foundation for anyone new to ML.

Machine Learning Use Cases

Discover the real-world applications of machine learning across industries. From predicting customer behavior and detecting fraud, you’ll see how organizations of all sizes are using ML to solve problems and create competitive advantages.

Machine Learning Life Cycle

This section breaks down each stage so you can understand how ML moves from idea to production, and how teams work together to bring models to life.

Machine Learning Algorithms

Dive into the core algorithms that power machine learning, including supervised, unsupervised, and reinforcement learning.

More on Algorithms

Go deeper into the technical side with an exploration of advanced algorithms and techniques. This section helps bridge the gap between introductory knowledge and practical implementation.

Machine Learning — Tips and Tricks

Get practical advice to help you succeed in ML projects. Perfect for both beginners and practitioners looking for ways to improve their machine learning workflows.