Machine Learning and Deep Learning
- A visual introduction to machine learning
- How I learn machine learning
- C++ Neural Network in a Weekend
- The Neural Network Zoo
- fast.ai — Making neural nets uncool again
- MIT Introduction to Deep Learning
- Dive into Deep Learning
- Manning & Schutze, Foundations of Statistical Natural Language Processing
- Jurafsky & Martin, Speech and Language Processing
- Eisenstein, Introduction to Natural Language Processing
- Molnar, Interpretable Machine Learning
- McKay, Information Theory, Inference and Learning Algorithms
- Hastie, Tibshirani & Friedman, The Elements of Statistical Learning
- Visualizing machine learning one concept at a time
- What are embeddings?
- A Very Gentle Introduction to Large Language Models without the Hype
- The Gradient
- ruder.io
- nlp-library
- Neural networks from scratch
- LLM Visualization
- The Annotated Transformer
- Markov Chains are the Original Language Models
- A Visual Guide to Vision Transformers
- Ilya Sutskever's Reading List
- The Pragmatic Programmer for Machine Learning
- The Little Book of Deep Learning