Section 1:The Methods
This initial section covers concepts and theories you need to know before performing hyperparameter tuning experiments.
This section includes the following chapters:
- Chapter 1, Evaluating Machine Learning Models
- Chapter 2, Introducing Hyperparameter Tuning
- Chapter 3, Exploring Exhaustive Search
- Chapter 4, Exploring Bayesian Optimization
- Chapter 5, Exploring Heuristic Search
- Chapter 6, Exploring Multi-Fidelity Optimization