The Thesis Review
Sean Welleck
Each episode of The Thesis Review is a conversation centered around a researcher's PhD thesis, giving insight into their history, revisiting older ideas, and providing a valuable perspective on how their research has evolved (or stayed the same) since.
Top mentioned books
Here are the most frequently recommended books on The Thesis Review podcast:
#1 Mentioned in 1 episodes
Shannon's book on the mathematical theory of communication
Claude Shannon
#2 Mentioned in 1 episodes
Deep Learning with Structured Data
Mark Ryan
#3 Mentioned in 1 episodes
Why greatness cannot be planned
Kenneth Stanley
#4 Mentioned in 1 episodes
Learning Deep Architectures for AI
Yoshua Bengio
#5 Mentioned in 1 episodes
Structure and Interpretation of Computer Programs (SICP)
Julie Sussman
Harold Abelson
Gerald Jay Sussman
#6 Mentioned in 1 episodes
The principles of psychology
William James
#7 Mentioned in 1 episodes
Optimization, Imitation, and Innovation
Computational Intelligence in Games
Julian Togelius
#8 Mentioned in 1 episodes
Structure and Interpretation of Classical Mechanics
Jack Widsom
Gerald Jay Sussman
#9 Mentioned in 1 episodes
Making Sense of Sensory Input
Richard Evans
#10 Mentioned in 1 episodes
Thinking, Fast and Slow
Daniel Kahneman
#11 Mentioned in 1 episodes
Artificial Intelligence and You
Corona Brezina
#12 Mentioned in 1 episodes
Information Theory, Inference, and Learning Algorithms
David J. C. MacKay
