Book Content
chapters • 9h48m total length
1. Quantifying Learning Algorithms
2. Evaluating Kernel Learning
3. Performance in Ensemble Learning
4. Training Neural Networks
5. Time-Series Analysis
6. Natural Language Processing
7. Temporal and Sequential Pattern Discovery
8. Probabilistic Graphical Models
9. Selected Topics in Deep Learning
10. Causal Inference
11. Advanced Methods
