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  • CS224N: Natural Language Processing with Deep Learning

  • CS231N: Convolutional Neural Networks for Visual Recognition

  • CS109: Intro to Probability for Computer Scientists

  • STATS 202: Data Mining and Analysis

  • LLM Bootcamp

  • MIT OpenCourseWare Linear Algebra

  • Neural Networks and Deep Learning

  • Practical Deep Learning for Coders

  • Introduction to Data-Centric AI 2024

  • Stanford CS336 Language Modeling from Scratch | Spring 2026

  • Stanford CS25: Transformers United V6

  • Andrej Karpathy's course on neural networks

  • Nando de Freitas' course on machine learning

  • David Silver's course on reinforcement learning

  • CS231n: Deep Learning for Computer Vision Stanford - Spring 2026

  • CS 185/285: Deep Reinforcement Learning at UC Berkeley

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