Google Tech Talks
July 17, 2007
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. Credits: Speaker:David Mease
they don't even know the square of 24!.
btw, I used python.
lalmohan 2 weeks ago
Props to you for the Michigan shirt in earlier videos...
-UM Alumnus '97
ladron02 2 months ago
Born teacher! Way to go my Friend! tumbs up for your course
radtjack 7 months ago
Es realmente un genio y yo también he aprendido mucho más en una hora con este tipo que en un salón de clases
medusave 10 months ago
Why is the audio not synchronized with the video on all of these?
Great lectures, but the unsynched audio is real distraction.
TomKaren1994 11 months ago
Association analysis begins here
nrm604 1 year ago
He is great
harkes12 2 years ago
The data mining stuff starts on Day 7.
Basic stats up til then
nrm604 2 years ago
this guy is awesome. I'm taking this class "Data Mining" at George Mason University and am learning so much more from this young genius. He understands how to take abstract into practical. And practical is really what we're all going to school for, unless we're an academic.
stephanunc 2 years ago
This is the first one with any Data mining theory explained. I liked it.
UnOrigionalOne 3 years ago