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: daerlxf
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

LevelUp 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?