Summer Interns - Machine Learning in Astronomy

This session will be a broad introduction to the topic of "Machine Learning" for the Summer Intern program.   You will be introduced to the Data Camp (datacamp.com) environment, which will allow you to leverage what you learn in this brief session. 

Please contact Gordon Richards (gtr at physics.drexel.edu) for more information about this session.

Useful reference for after this session include:

Jake VanderPlas' "Python Data Science Handbook":
http://nbviewer.jupyter.org/github/jakevdp/WhirlwindTourOfPython/blob/master/Index.ipynb

Zeljko Ivezic's machine learning class:
https://github.com/uw-astr-324-s18/astr-324-s18/

David Kirkby's machine learning class
https://nbviewer.jupyter.org/format/slides/github/Asterics2020-Obelics/School2018/blob/master/machinelearning/Contents.ipynb#/