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Machine Learning for Astronomy

Jake VanderPlas, June 2015

1. Introduction

Basics of Machine Learning for Astronomy

2. Breakouts

You'll probably have time for only one: choose your favorite!

3. Additional content: in depth intro to specific algorithms

We won't cover this as a group, but you might wish to read through these yourself.

These are taken from my PyCon 2015 Scikit-Learn tutorial