Google Tech Talks: Statistical Aspects of Data Mining (Stats 202)
Summer 2012
Abstract
This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them.
Speaker: David Mease (professor at Stanford university)
Lecture videos
- Statistical Aspects of Data Mining (Stats 202) Day 1 / Lecture Note
- Statistical Aspects of Data Mining (Stats 202) Day 2 / Lecture Note
- Statistical Aspects of Data Mining (Stats 202) Day 3 / Lecture Note
- Statistical Aspects of Data Mining (Stats 202) Day 4 / Lecture Note
- Statistical Aspects of Data Mining (Stats 202) Day 5 / Lecture Note
- Statistical Aspects of Data Mining (Stats 202) Day 6 / Lecture Note
- Statistical Aspects of Data Mining (Stats 202) Day 7 / Lecture Note
- Statistical Aspects of Data Mining (Stats 202) Day 8 / Lecture Note
- Statistical Aspects of Data Mining (Stats 202) Day 9 / Lecture Note
- Statistical Aspects of Data Mining (Stats 202) Day 10 / Lecture Note
- Statistical Aspects of Data Mining (Stats 202) Day 11 / Lecture Note
- Statistical Aspects of Data Mining (Stats 202) Day 12 / Lecture Note
- Statistical Aspects of Data Mining (Stats 202) Day 13 / Lecture Note