Understanding Machine Learning: Build AI Models with Python: A Step-by-Step Guide to Developing Machine Learning Algorithms

By Booker Blunt and Boozman Richard

Enter the world of intelligent systems and discover how computers are trained to make predictions, recognize patterns, and evolve through data.

This beginner-friendly resource simplifies the path to one of the most in-demand tech fields today. Whether you're a student, tech enthusiast, or career-switcher, you'll find crystal-clear explanations, hands-on exercises, and real-world examples that make learning fast, fun, and effective.

This is more than just theory-it's a practical roadmap to building intelligent solutions that learn and improve over time.

Inside, you'll uncover:

How computers learn from structured and unstructured data

The logic behind pattern recognition, decision-making, and data-driven insights

Clean code examples that walk you through training, testing, and fine-tuning systems

Projects to help you apply concepts and build confidence

Practical uses in health, finance, marketing, and more

A breakdown of essential tools, metrics, and evaluation techniques

Mistakes beginners make-and how to avoid them

Whether you're exploring a new interest or preparing for a career in tech, this book will give you the confidence to create intelligent systems from the ground up.

Perfect for students, tech explorers, and anyone eager to learn smart system design in a modern, accessible way.

• Format: Paperback
• Language: English
• ISBN: B0F5QFTC71
• ISBN13: 9798280689848
• Release Date: April 2025
• Publisher: Independently Published
• Length: 280 Pages
• Weight: 0.83 lbs.
• Dimensions: 0.6" x 6.0" x 9.0"