

Training Data
Sequoia Capital
Join us as we train our neural nets on the theme of the century: AI. Sonya Huang, Pat Grady and more Sequoia Capital partners host conversations with leading AI builders and researchers to ask critical questions and develop a deeper understanding of the evolving technologies—and their implications for technology, business and society.The content of this podcast does not constitute investment advice, an offer to provide investment advisory services, or an offer to sell or solicitation of an offer to buy an interest in any investment fund.
Top mentioned books
Here are the most frequently recommended books on the Training Data podcast:

#1 Mentioned in 2 episodes
Thinking, Fast and Slow

#2 Mentioned in 1 episodes
The bitter lesson

#3 Mentioned in 1 episodes
The Last Question

#4 Mentioned in 1 episodes
Game changers
What Leaders, Innovators, and Mavericks Do to Win at Life

#5 Mentioned in 1 episodes
Surely You're Joking, Mr. Feynman!
Adventures of a Curious Character

#6 Mentioned in 1 episodes
Where Good Ideas Come From
The Natural History of Innovation

#7 Mentioned in 1 episodes
Understand

#8 Mentioned in 1 episodes
The Innovator's Dilemma
When New Technologies Cause Great Firms to Fail

#9 Mentioned in 1 episodes
Hit Refresh
The Quest to Rediscover Microsoft's Soul and Imagine a Better Future for Everyone

#10 Mentioned in 1 episodes
Invent and Wander
The Collected Writings of Jeff Bezos

#11 Mentioned in 1 episodes
Attention Is All You Need
The Game-Changing Paper That Transformed NLP

#12 Mentioned in 1 episodes
The Lego Story
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#13 Mentioned in 1 episodes
Machines of Loving Grace

#14 Mentioned in 1 episodes
I Am a Strange Loop

#15 Mentioned in 1 episodes
The Hitchhiker's Guide to The Galaxy

#16 Mentioned in 1 episodes
On LISP

#17 Mentioned in 1 episodes
The Beginning of Infinity
Explanations That Transform the World

#18 Mentioned in 1 episodes
The moon is a harsh mistress

#19 Mentioned in 1 episodes
The Principles of Deep Learning Theory
An Effective Theory Approach to Understanding Neural Networks

#20 Mentioned in 1 episodes