Week 5: Clustering

Week 5: Clustering

Announcements

Class participation, EdSTEM and Google Folder.
(Back to Course Index Page)

Tuesday

Midterm

Research questions
Literature review
Paper format, 800 words abstract for midterm and ten page full length paper for final project
Timeline
Team, student pairs

Sklearn Tutorial and Scipy

Tutorial
1. An introduction to machine learning with scikit-learn
2. A tutorial on statistical-learning for scientific data processing
Unsupervised learning
Resources
Python Scientific Lecture Notes
1. NumPy
2. Matplotlib
3. SciPy

Iris Dataset

Comparing clustering algorithms with iris dataset
Example 1
Example 02

Textbooks

All textbooks are free available online, and are optinal, not required.

Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Table of Contents
Machine Learning Basics
A Course in Machine Learning by Hal Daume III
Unsupervised Learning
Machine Learning by Tom Mitchell

User Guide (Sklearn)

Thursday

Midterm

Research questions
Literature review
Paper format, two-page poster and full length eight-page paper
Timeline
Team, student pairs

Research suggestions

GW Writing Center