nehalecky/cs-7641-Machine-Learning

GATech OMSCS Machine Learning Course -- notes and assignments

CS 7641: Machine Learning

from GATech OMSCS

Notes

• written in Markdown (*.md)
• recommend viewing in StackEdit.

TOC

• 0.0 Intro: ML is the ROX
• 1.1 SL: Decision Trees
• 1.2 SL: Regression and Classification
• 1.3 SL: Neural Networks
• 1.4 SL: Instance-Based Learning
• 1.5 SL: Ensemble Learning: Bagging and Boosting
• 1.6 SL: Kernel Methods and SVMs

Assignments

• use IPython / Jupyter notebook.
• virtual machine definition can generate all content.

Virtual Machine (VM)

All analysis contained in this repo can be reproduced with use of the VM. First, install VirtualBox and Vagrant and light all this up it up quickly, via:

> git clone git@github.com:nehalecky/cs-7641-Machine-Learning.git
> cd cs-7641-Machine-Learning
> vagrant up
> ./bin/launch-jupyter.sh

Then navigate to the Jupyter session at: http://localhost:8009/

Godspeed!