🗓️ Week 06 - Bayesian Classification

Author

Affiliation

Dr. Simone Rossi

EURECOM

After exploring approximate Bayesian inference, we now apply these concepts to classification problems. We will discuss logistic regression as a Bayesian model, perform inference using the tools we’ve developed, and introduce posterior predictive checks for model evaluation. We will also explore the Naive Bayes classifier as an alternative approach to classification.

🖥️ Lecture Slides

• Bayesian Classification

📑 Lecture Notes (PDF)

• Bayesian Classification

📚 Recommended Reading

• Murphy (2023): Chapter 15.3 (Logistic Regression)

📙 References

Murphy, K. P. (2023). Probabilistic machine learning: Advanced topics. MIT Press. http://probml.github.io/book2