deep learning

The foundational textbook of modern deep learning, written by three of the field's most influential researchers. Rigorous, comprehensive, and free online — the reference every serious ML practitioner should have read at least once.

The definitive practical guide to machine learning in Python. Géron walks from scikit-learn fundamentals through deep neural networks and reinforcement learning using real datasets and working code — the book practitioners actually keep on their desks.

Dr. Károly Zsolnai-Fehér breaks down NVIDIA's latest AI research in his trademark 'what a time to be alive' style — covering a capability that was considered infeasible just months before its publication.

A 3.5-hour end-to-end walkthrough of how large language models like ChatGPT are actually built — from tokenization and pretraining through supervised fine-tuning and RLHF. Karpathy explains everything in plain engineer-to-engineer language with no hype.

UK-based AI-first autonomous driving company partnering with Uber and Nissan