Reading list to join AI field from Hugging Face cofounder

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View Website Deep Learning Book AI: A Modern Approach ML: A Probabilistic Perspective Information Theory, Inference, Learning Algorithms Reinforcement Learning: An Introduction Neural Network Methods in NLP edx Computational Probability and Inference Probabilistic Graphical Models Specialization

The provided reading list by Thom Wolf offers a comprehensive guide for self-educating in the fields of Natural Language Processing (NLP), Artificial Intelligence (AI), and Machine Learning (ML). It features exhaustive books and resources including the 'Deep Learning' book, AI and ML textbooks, and materials on reinforcement learning, causality, and NLP representation learning.

Deep Learning book co-authored by Ian Goodfellow
AI approaches detailed by Stuart Russell
Kevin P. Murphy covers probabilistic ML
David MacKay's text on information theory
Judea Pearl introduces causality concepts

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Reading list to join AI field from Hugging Face cofounder