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Resources

This page contains a list of recommended textbooks and similar courses from other institutions for further study.

  1. Deep Learning: Foundations and Concepts

    • Bishop, Christopher M. and Hugh Bishop
    • Springer

  2. Probabilistic Machine Learning: Advanced Topics

    • Murphy, Kevin P.
    • The MIT Press

  3. Deep Generative Modeling

    • Tomczak, Jakub M.
    • Springer

  4. Probabilistic Graphical Models: Principles and Techniques

    • Koller, Daphne and Nir Friedman
    • The MIT Press