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adeshpande3 / Machine Learning Notes

Notes for several Machine Learning and Deep Learning courses, textbooks, and talks

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Machine-Learning-Notes

Notes for several Machine Learning and Deep Learning courses and textbooks and talks.

  • Reinforcement Learning Course - This lecture course is taught by David Silver of Google Deepmind. The lectures can be found on YouTube at this link. In this course, you'll learn about the following topics.

    • Markov Decision Processes
    • Value functions
    • Policies
    • Dynamic programming approaches
    • Monte Carlo learning
    • Temporal difference learning
    • SARSA
    • Value function approximation
    • Policy gradients
    • Deep Q networks
  • Scaled Machine Learning Conference Notes - These were the notes I took at the Scaled ML conference at Stanford. Here is a link to event page.

  • Machine Learning: A Probabilistic Perspective Notes - ML textbook with an emphasis on describing concepts with relation to probability.

  • Elements of Statistical Learning Notes - Another hard ML textbook with an emphasis on a lot of the math behind traditional ML models.

  • The AI Conference 2017 Notes - These were the notes I took at The AI Conference sponsored by O'Reilly Media. Here is a link to event page.

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