Table of Contents

Machine Learning

M1. Books, Tutorials, and References - General Topics

• Machine Learning from Scratch, Erik Linder-Noren
• AI/ML cheatsheets, Shervine Amidi

M2. Books, Tutorials, and References - Specific Topics

• Transfer Learning Repo, Jindong Wang

M3. Tools - scikit-learn

• scikit-learn: The official homepage

Deep Learning

D1. Books, Tutorials, and References - General Topics

• Deep Learning, Ian Goodfellow et al.
• 모두를 위한 머신러닝/딥러닝 강의, 김성훈 (in Korean)
  • It includes Season 1 with TensorFlow, Season RL, Season NLP.
  • Season 2 with Pytorch is at the separate website.
• NYU DS-GA 1008: Deep Learning, Yann LeCun and Alfredo Canziani (Github)
• MIT Deep Learning and Artificial Intelligence Lectures, Lex Fridman
• Deep Learning with PyTorch, Eli Stevens, Luca Aniga, and Thomas Viehmann
• A Short ML/DL Tutorial, Sunglok Choi

D2. Books, Tutorials, and References - Specific Topics