Book Content
chapters • 14h56m total length
1. Gearing Up for Predictive Modeling
2. Tidying Data and Measuring Performance
3. Linear Regression
4. Generalized Linear Models
5. Neural Networks
6. Support Vector Machines
7. Tree-based Methods
8. Dimensionality Reduction
9. Ensemble Methods
10. Probabilistic Graphical Models
11. Topic Modeling
12. Recommendation Systems
13. Scaling Up
14. Deep Learning
