Public Roadmaps + New Roadmap

  • Bayesian machine learning

    Created by: Roger Grosse

    Intended for: beginning machine learning researchers, practitioners

    An overview of Bayesian machine learning techniques.

  • Beginning programming

    Created by: Roger Grosse, Colorado Reed

    Intended for: beginners

    Learn the basics of programming which you need for Metacademy

  • Deep learning from the bottom up

    Created by: Roger Grosse

    Intended for: machine learning practitioners

    An overview of key ideas and recent advances in deep learning.

  • DeepLearning

    Created by: MengDiXu

    Intended for: AI researcher

    my learning summary about DL

  • Differential geometry for machine learning

    Created by: Roger Grosse

    Intended for: machine learning researchers

    An overview of several uses of differential geometry ideas in machine learning

  • Dynamical Systems for Machine Learning

    Created by: Daniel Jiwoong Im

    Intended for: machine learning researchers, practitioners

    An overview of taking dynamical systems approaches to learning.

  • hello world

    Created by: daer-lxf

    Intended for: everybody

    this is a hello world

  • How to learn on your own

    Created by: Roger Grosse

    Intended for: everyone

    Strategies for directing your own education, and for making good use of Metacademy

  • Level-Up Your Machine Learning

    Created by: Colorado Reed

    Intended for: everyone interested in machine learning

    This roadmap provides an answer to the question: How can I "get better" at machine learning when I don't know what I should study?