cs-7641-Machine-Learning
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nehalecky
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 [email protected]: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!
nehalecky