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New Computer science books
MoneyGPT
James Rickards
Why Machines Learn
Anil Ananthaswamy
Digital Dharma
Deepak Chopra
OK Computer: Series 1-3
Olga Koch and Charlie Dinkin
Playing with Reality
Kelly Clancy
Log-Linear Models, Extensions, and Applications
Aleksandr Aravkin

Popular Computer science books
MoneyGPT
James Rickards
Why Machines Learn
Anil Ananthaswamy
Co-Intelligence
Ethan Mollick
Digital Dharma
Deepak Chopra
How We Learn
Stanislas Dehaene
Python Crash Course, 3rd Edition
Eric Matthes
Life 3.0
Max Tegmark
Thinking Like a Human
David Weitzner
Machine Agency
James Mattingly, Beba Cibralic
Learning Theory from First Principles
Francis Bach
Collaborative Intelligence
Mira Lane
Multi-Agent Reinforcement Learning
Stefano V. Albrecht, Filippos Christianos, Lukas Schäfer
The Line
James Boyle
Computing Legacies
Peter Krapp
Graph Algorithms the Fun Way
Jeremy Kubica
Monoidal Category Theory
Noson S. Yanofsky
OK Computer: Series 1-3
Olga Koch and Charlie Dinkin
Cryptography
Panos Louridas
Robot-Proof, revised and updated edition
Joseph E. Aoun
Veridical Data Science
Bin Yu, Rebecca Barter
AI & I
Eugene Charniak
Taming Silicon Valley
Gary F. Marcus
Thrive
Ravi Bapna,Anindya Ghose
Output
Lillian-Yvonne Bertram
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