

Machine Learning Street Talk (MLST)
Machine Learning Street Talk (MLST)
Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).
Top mentioned books
Here are the most frequently recommended books on the Machine Learning Street Talk (MLST) podcast:

#1 Mentioned in 20 episodes
Why greatness cannot be planned

#2 Mentioned in 9 episodes
The language game
Papers in Memory of Donald C. Laycock

#3 Mentioned in 7 episodes
Thinking, Fast and Slow

#4 Mentioned in 6 episodes
Rebooting AI
Building Artificial Intelligence We Can Trust

#5 Mentioned in 6 episodes
Pattern Recognition and Machine Learning

#6 Mentioned in 6 episodes
Gödel, Escher, Bach
An Eternal Golden Braid

#7 Mentioned in 5 episodes
Deep Learning with Python

#8 Mentioned in 5 episodes
The society of mind

#9 Mentioned in 5 episodes
Artificial Intelligence for the Thinking Human

#10 Mentioned in 5 episodes
The mind is flat

#11 Mentioned in 4 episodes
The Road to Reality
A Complete Guide to the Laws of the Universe

#12 Mentioned in 4 episodes
The Master Algorithm
How the Quest for the Ultimate Learning Machine Will Remake Our World

#13 Mentioned in 4 episodes
Natural General Intelligence

#14 Mentioned in 3 episodes
Active Inference
The Free Energy Principle and Its Applications

#15 Mentioned in 3 episodes
A Brief History of Intelligence
Evolution, AI, and the Five Breakthroughs That Made Our Brains

#16 Mentioned in 3 episodes
A New Kind Of Science
#17 Mentioned in 3 episodes
Connectionism and Cognitive Architecture: A Critical Analysis

#18 Mentioned in 3 episodes
Taming Silicon Valley
How We Can Ensure That AI Works for Us

#19 Mentioned in 3 episodes
Bayesian data analysis

#20 Mentioned in 3 episodes
On the Measure of Intelligence
A book by François Chollet