Good Reads

Texts I have read (or listened to) that I found interesting. I have attempted to organize the texts by their primary discipline or field in reverse (rough) chronological order of publication.

Non-Fiction

Evolution

1. Adaptive Markets: Financial Evolution at the Speed of Thought by Andrew W. Lo (2019)
2. The Handbook of Evolutionary Psychology by David M. Buss (2015)
3. The Blind Watchmaker by Richard Dawkins (1986)
4. On the Origin of Species by Charles Darwin (1859)

Machine Learning

1. Understanding Deep Learning by Simon J.D. Prince (2023)
2. Geometric Deep Learning by Michael M. Bronstein, Joan Bruna, Taco Cohen, and Petar Veličković (2022)
3. Linear Algebra and Learning from Data by Gilbert Strang (2019)
4. The Hundred-Page Machine Learning Book by Andriy Burkov (2019)

Mathematics

1. Seven Sketches in Compositionality: An Invitation to Applied Category Theory by Brendan Fong and David I. Spivak (2018)