General Information

The main purpose of the group is to:

Learns the in's and out's of Machine Learning (ML)
Learn the best practices of ML out there
Use packages such as PyTorch, TensorFlow, and Scikit-Learn
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 Tuesday at 9am and Thursdays at 12pm in 9th floor conference room

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://vandymlgroup.slack.com
Team Name: Vandy ML Group
Slack App: You can download the Slack app for your computer/phone here.

Schedule - Spring 2018

The following is the schedule for the Spring 2018 semester (subject to change).

Week	Due Date	Topics Covered
1	Jan 30, 2018	Thinking about data Naive Bayes Classifier
2	Feb 1, 2018	Decision Tree Learning Generalization & Evaluation k-Nearest Neighbor Algorithm
3	Feb 17, 2018	We moved the project for next week. We can still meet to discuss how to implement the code.
4	Feb 24, 2018	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, 2018	Clustering Algorithms Expectation Maximization Algorithm Hierarchical Clustering Optional: Dimensionality Reduction and PCA
6	Mar 09, 2018	Spring Break
7	Mar 16, 2018	AstroML section ... To be determined
8	Mar 23, 2018
9	Mar 30, 2018
10	Apr 06, 2018
11	Apr 13, 2018
12	Apr 20, 2018
13	Apr 27, 2018
14	May 04, 2018

Vandy Astro-ML

Spring 2018

General Information

Slack Information

Schedule - Spring 2018

Other links

General

Version Control

Coding

Machine Learning Courses

Papers