Machine learning crash course
Fast-paced, practical introduction to machine learning, featuring a series of lessons with video lectures, interactive visualizations, and hands-on practice exercises, provided by Google
developers.google.com/machine-learning/crash-course
Part 1. ML models
- Chapter 1. Linear regression
- Chapter 2. Logistic regression
- Chapter 3. Classification
Part 2. Data
- Chapter 4. Working with numerical data
- Chapter 5. Working with categorical data
- Chapter 6. Datasets, generalization, and overfitting
Part 3. Advanced ML models
- Chapter 7. Neural networks
- Chapter 8. Embeddings
- Chapter 9. Large language models
Part 4. Real-world ML
- Chapter 10. Production ML systems
- Chapter 11. Automated ML
- Chapter 12. Fairness