reading list

a short collection of interesting papers, books and blogs that i have (or maybe haven’t) read.

papers & reviews

• Attention is All You Need !!! - 🪐
• A Few Useful Things to Know About Machine Learning
• LLM Post-Training
• Large Language Models Pass the Turing Test - 🪐
• Physics-informed machine learning - 🪐

books

• AI in 100 Images; Ashish Bamania
• Deep Learning; Goodfellow, Bengio, Courville
• The Hundred-Page ML Book; Andriy Burkov - 🪐
• Stanford’s Machine Learning Lecture Notes; Andrew NG - 🪐
• The Art of Doing Science and Engineering; Richard W. Hamming - 🪐
• Essential Math for AI; Hala Nelson
• The StatQuest Illustrated Guide to ML; Josh Strammer - 🪐

🪐 - personal favorites