Machine Learning for Intelligent Systems & Robotics¶
Welcome! This interactive book curates readings, programming notebooks, and materials to help you explore machine learning for intelligent systems and robotics.
How to Use This Book¶
Navigate chapters from the left sidebar to explore weekly topics.
Launch notebooks directly in cloud environments using the badges at the top of each chapter.
Use the “View on GitHub” button to propose improvements or suggest clarifications.
Learning Outcomes¶
By exploring this book you will be able to:
Apply ensemble methods (random forests, gradient boosting) to structured tabular data.
Interpret model predictions and extract insights from feature importance analysis.
Evaluate trade-offs between tree-based methods and neural network approaches for different problem types.
Continue to the first chapter to learn about random forests and tabular data modeling.