Teaching

Here you will find resources and blogs I have written for lectures, talks and self-study.

Available Resources

• AC Notes
• Introduction to Measure Theory
• Matrix Calculus

Free Online Books

Here is a list of online books that I have been recommended, which are free to read.

• Pattern Recognition and Machine Learning — C.M. Bishop
• Deep Learning — I. Goodfellow, Y. Bengio, A. Courville
• Information Theory, Inference, and Learning Algorithms — D.J.C. Mackay
• A Book of Abstract Algebra — C.C. Pinter
• Introduction to Algorithms — T.H. Cormen, C.E. Leiserson, R.L. Rivest, C. Stein
• Understanding Deep Learning — S.J.D. Prince
• Machine Learning Yearning — A. Ng