Lecture 9: Stochastic Gradient Descent / Logistic Regression

Readings

• Estimating Probabilities: MLE and MAP. Tom Mitchell (2016).
• Probability and Information Theory. Ian Goodfellow, Yoshua Bengio, & Aaron Courville (2016). Deep Learning, Chapter 3.
• Logistic Regression. Kevin P. Murphy (2014). Machine Learning: A Probabilistic Perspective. Chapter 1.4.6, 8.1-8.3, 8.6.

Lecturer: Matt Gormley

Unit: Linear Models