Michael Data

Official Class Website
Program Description

The Project

Guidelines

Define basic notation to explain the model.
Establish a good staged plan.

Suggested length is 6 to 8 pages.
Related work, details, but importantly: insight/analysis. Concisely show these results.
Should be along the lines of a “mini” research paper.

If results didn't turn out well, or got negative results, that's ok. Important part is insight and the clarity of the writing.

Due on 8am Monday March 17th. Submit to EEE; no hardcopy required.

Lecture 1

Software options:

  • * General programming languages
  • intended for final implementations
  • * Scientific programming languages
  • intended for prototyping and development
  • * Data analysis packages
  • intended for analysts with limited programming skills

Introduction to data mining

Lecture 2
Lecture 3
Lecture 4
Lecture 5

Canceled for MLK Jr. Day

Lecture 6
Lecture 7
Lecture 8
Lecture 9
Lecture 10
Lecture 11
Lecture 12
Lecture 13

Cancelled for President's Day holiday

Lecture 14

Topic Models

  • * Background reading: David Blei's Topic Model webpage, the original LDA paper, the Steyvers LSA paper, Newman's distributed algorithms paper.
Lecture 15

Review of Topic Models

Lecture 16
Lecture 17
Lecture 18
Lecture 19
Lecture 20

Class project demonstrations
The Project