Probabilistic Machine Learning
Probability-based approaches to machine learning by Kevin Murphy
- 01 Probabilistic Machine Learning Notes →
- 02 Introduction to Machine Learning →
- 03 Probability Foundations →
- 04 Probability: Advanced Topics →
- 05 Statistics →
- 06 Decision Theory →
- 07 Information Theory →
- 08 Optimization →
- 09 Discriminant Analysis →
- 10 Logistic Regression →
- 11 Linear Regression →
- 12 Feed-Forward Neural Networks →
- 13 Convolutional Neural Networks →
- 14 Recurrent Neural Networks and Transformers →
- 15 Exemplar-Based Methods →
- 16 Decision Trees and Ensembles →
- 17 Self-Supervised and Semi-Supervised Learning →
- 18 Recommendation Systems →