Machine Learning For Dummies

Luca Massaron is a data science, machine learning, and artificial intelligence expert. He’s the author of Artificial Intelligence For Dummies, Deep Learning For Dummies, and Machine Learning For Dummies. John Paul Mueller was a long-time tech author whose credits include previous editions of this book along with Artificial Intelligence For Dummies and Algorithms For Dummies.

• Introduction 1Part 1: Introducing How Machines Learn 5Chapter 1: Getting the Real Story About AI 7Chapter 2: Learning in the Age of Computers 23Chapter 3: Having a Glance at the Future 35Part 2: Learning Machine Learning by Coding 45Chapter 4: Working with Google Colab 47Chapter 5: Understanding the Tools of the Trade 71Chapter 6: Getting Beyond Basic Coding in Python 81Part 3: Building the Foundations 103Chapter 7: Demystifying the Math Behind Machine Learning 105Chapter 8: Descending the Gradient 129Chapter 9: Validating Machine Learning 145Part 4: Learning from Smart Algorithms 169Chapter 10: Starting with Simple Learners 171Chapter 11: Leveraging Similarity 195Chapter 12: Working with Linear Models the Easy Way 219Chapter 13: Going Beyond the Basics with Support Vector Machines 251Chapter 14: Tackling Complexity with Neural Networks 263Chapter 15: Resorting to Ensembles of Learners 303Part 5: Applying Learning to Real Problems 327Chapter 16: Classifying Images 329Chapter 17: Scoring Opinions and Sentiments 351Chapter 18: Recommending Products and Movies 379Part 6: The Part of Tens 401Chapter 19: Ten Ways to Improve Your Machine Learning Models 403Chapter 20: Ten Guidelines for Ethical Data Usage 411Index 419