Machine Learning & AI

About Machine Learning & AI

ML theory and practice: from classic ML to deep learning and MLOps.

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fast.ai: Practical Deep Learning — Top-down DL with real projects
Stanford CS229: Machine Learning — Foundational theory and notes
Stanford CS231n: CNNs for Visual Recognition — Deep learning for computer vision
Stanford CS224n: NLP with Deep Learning — Deep NLP and transformers
MIT 6.S191: Intro to Deep Learning — Intensive DL bootcamp
PyTorch Tutorials — Official PyTorch learn-by-doing
TensorFlow: Keras & TF Guides — TF/Keras official learning hub
DeepLearning.AI Short Courses — Bite-sized, timely AI topics
AutoML & MLOps (Made With ML) — End-to-end ML engineering
Google GenAI Learning Path — GenAI concepts and hands-on labs
Stanford CS330: Deep Multi-Task & Meta-Learning — Advanced DL course