General Information

The main purpose of the group is to:

Learn as a group the ideas and concepts of machine learning
Learn how to apply such ideas to projects, especially using Python

We will meet every Wednesday at 1pm in SC6333 (click to add a reminder)

Slack Information

We will be using Slack to communicate ideas, resources, changes to the schedule, etc. Make sure to download the app, since it makes it easier to know what's happening.

Slack website: https://vandyastroml.slack.com
Team Name: VandyAstroML
Email address: Use your @vanderbilt email address.
Slack App: You can download the Slack app for your computer/phone here.

Schedule - Spring 2016

The following is the schedule for the Spring 2016 semester (subject to change).

Week	Due Date	Topics Covered
1	Feb 03, 2016	Thinking about data Naive Bayes Classifier
2	Feb 10, 2016	Decision Tree Learning Generalization & Evaluation k-Nearest Neighbor Algorithm
3	Feb 17, 2016	We moved the project for next week. We can still meet to discuss how to implement the code.
4	Feb 24, 2016	Assignment Day: Applying Naive Bayes, Decision Trees, and k-Nearest Neighbor algorithms to a given dataset. Support Vector Machine I Support Vector Machine II
5	Mar 02, 2016	Clustering Algorithms Expectation Maximization Algorithm Hierarchical Clustering Optional: Dimensionality Reduction and PCA
6	Mar 09, 2016	Spring Break
7	Mar 16, 2016	AstroML section ... To be determined
8	Mar 23, 2016
9	Mar 30, 2016
10	Apr 06, 2016
11	Apr 13, 2016
12	Apr 20, 2016
13	Apr 27, 2016
14	May 04, 2016

Vandy Astro-ML

Spring 2016

General Information

Slack Information

Schedule - Spring 2016

Other links

General

Version Control

Coding

Machine learning

Papers