Public Roadmaps + New Roadmap
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Bayesian machine learning
Created by: Roger Grosse
Intended for: beginning machine learning researchers, practitioners
An overview of Bayesian machine learning techniques.
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Beginning programming
Created by: Roger Grosse, Colorado Reed
Intended for: beginners
Learn the basics of programming which you need for Metacademy
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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.
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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
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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.
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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
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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?