機械学習・Deep Learningの無料本など

• François Fleuret (2023): The Little Book of Deep Learning
• Ian Goodfellow, Yoshua Bengio, Aaron Courville (2016): Deep Learning（ダウンロード不可、読むだけ）
• Kevin Murphy: Probabilistic Machine Learning Book 1 (2022), Book 2 (2023) の draft がダウンロードできる
• Christopher Bishop (2006): Pattern Recognition and Machine Learning (PRML)
• Christopher Bishop with Hugh Bishop (2024): Deep Learning: Foundations and Concepts（ダウンロード不可、読むだけ）
• Simon Prince (2023): Understanding Deep Learning
• Zhang et al. (2023): Dive into Deep Learning
• Jurafsky and Martin (2023): Speech and Language Processing
• Deisenroth, Faisal, Ong (2020): Mathematics for Machine Learning
• Abhishek Thakur (2020): Approaching (Almost) Any Machine Learning Problem

Online Courses

• Andrej Karpathy: Neural Networks: Zero to Hero
• fast.ai: Practical Deep Learning for Coders

これ以外にも統計、Pythonのページ下にもオンライン本の紹介あり。