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.

Tools & Services & References


Andrej Karpathy - YouTube (Founding member of OpenAI)

Blog / Personal websites (Youtube channel of Luis Serrano, the author of Grokking Machine Learning)
vcubingx (A Youtube channel like 3Blue1Brown, talk about Math and CS).

Data Science

Articles / Videos

Deep Learning / CNN

Neural Networks: Zero To Hero by Andrej Karpathy, and this is the videos.
[Book] Understand Deep Learning by Simon J.D Prince
[Book] Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville
[Book] Neural networks and deep learning by Michael Nielsen  — this book is recommended by 3Blue1Brown in his video about Neural Networks.


[article] Deep Learning: An Introduction for Applied Mathematicians by Catherine F. Higham, Desmond J.Higham.

Engineering / MLOps

[Book] Designing Data-Intensive Applications by Martin Kleppmann

Generative AI / LLM

Articles / Video

Neural networks | 3Blue1Brown - YouTube (Chap 5 & 6 talk about GPT) 👈 Noted in Goodnotes

Maths / Prop / Stats

[Book] Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition. (use for ref, hard to read for self-study). Consider An Introduction to Statistical Learning instead (same authors).


[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

A visual introduction to machine learning: Part 1, Part 2





Computer Vision


Object Detection for Dummies | Lil'Log: part 1, part 2, part 3, part 4. 👈 Reading: Object Detection for dummies (Lilian Weng)