Machine Learning

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fast.ai Practical Deep Learning for Coders - Hands-on deep learning course using PyTorch.

The Hundred-Page Machine Learning Book - Concise overview of core ML concepts.

Papers with Code - Browse ML papers linked with code implementations.

Machine Learning from Scratch - Step-by-step machine learning implementations using only NumPy.

The Most Important Machine Learning Equations - Key ML equations with theoretical insight and Python examples.

Dive into Deep Learning - Interactive deep learning book with code, math, and discussions.

How to Scale Your Model (Systems View of LLMs) - Concise guide to scaling LLMs (TPU/GPU, parallelization, resource estimation).

Machine Learning Glossary - Visual explanations of machine learning concepts.

Elements of Data Science - Intro to data science for those with no programming experience.

CS231n Notes - Deep learning for computer vision course notes.

Mathematics for Inference and Machine Learning - Mathematical tools for inference and ML methodology design.

Build a Large Language Model (From Scratch) - Step-by-step guide to LLM internals and implementation.

Mathematics for Machine Learning - Provide necessary mathematical skills for advanced machine learning techniques