A collection of learning resources for the AI world

Anh-Thi Dinh
The resources listed in this note have not been verified yet. They are included so that they can be checked at a later time. The order is random.
“I failed my way to success” — Thomas Edition.

General

Blog / Personal websites

Data Structure & Algorithms

Data Science

Deep Learning / CNN

[Book] Understand Deep Learning by Simon J.D Prince
[Book] Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville
Articles
Object Detection for Dummies | Lil'Log: part 1, part 2, part 3, part 4.

Engineering / MLOps

Generative AI / LLM

Articles:

Maths / Prop / Stats

[Book] Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition. (used to ref, hard to read for self-study). Consider An Introduction to Statistical Learning instead (same authors).
Statistics
[Digital book] Seeing Theory
[Book] Practical Statistics for Data Scientists by Andrew Bruce, Peter Bruce, and Peter Gedeck
[Book] Think Stats by Allen B. Downey
[Book] Think Bayes by Allen B. Downey
 

Machine Learning

NLP

Python

Pytorch

Tensorflow

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