Note on AI Transfer Experience

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I recently switched to the direction of artificial intelligence, (Wait, aren’t you a Crypto player? But considering that Babbitt is all in AI and stomped on Crypto by the way, I’m not ashamed of this hahaha.) Consider There should be many people who need it. I will record my own experience.

“Introduction to Algorithms”

Many people may not know that the latest version of “Introduction to Algorithms” has updated a Selected Topic chapter, which is devoted to machine learning! The content is the most basic clustering and gradient descent haha. If I had watched this earlier, would I have won all the previous Baidu Star finals (a parallel world line). In fact, the basic knowledge of ML is really important. When interviewing for irrelevant positions, you may be asked unexpectedly ==. . . Moreover, in fact, earlier, the ML algorithm (16-year L question) was tested in IPSC , and it was the simplest MNIST thing. . . You see, with basic ML knowledge, you’ll be ahead of a bunch of our competitors!

“21 Projects to Play with TensorFlow”

Please don’t make fun > <. . . But I did get started with this book.

In short, this book is a lot of interesting ML examples stuffed together, with TensorFlow’s actual combat code, but who still uses TensorFlow these days? But I did read some internal TensorFlow tutorials that year. There was also a TensorFlow expert from sjtu in the group, and the TensorFlow business trip team occasionally came to us for internal sales, and also at GDC. . . So I always thought that TensorFlow was the best. Just like I always thought Angular was good,, > <

Pytorch deep learning practice

This is what I was reading recently. Pytorch is really easy to use and easy to debug. With the official tutorial, I can finally get started!

Foundations of Data Science

Another book I’ve been reading recently. . One of the authors is actually John Hopcroft! ! . . .

. Wow. . Isn’t discovery the “Introduction to Algorithms” in the new era? . .

Information Theory: From Coding to Learning

Understand coding and machine learning from an information theory perspective. . . This book has not yet been printed and is still in the draft stage. . .

Although I can’t understand it, it feels very important!

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