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Statistical Aspects of Data Mining (Stats 202) Day 7

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Uploaded by on Oct 8, 2007

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

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Howto & Style

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  • they don't even know the square of 24!.

    btw, I used python.

  • Props to you for the Michigan shirt in earlier videos...

    -UM Alumnus '97

  • Born teacher! Way to go my Friend! tumbs up for your course

  • Es realmente un genio y yo también he aprendido mucho más en una hora con este tipo que en un salón de clases

  • Why is the audio not synchronized with the video on all of these?

    Great lectures, but the unsynched audio is real distraction.

  • Association analysis begins here

  • He is great

  • The data mining stuff starts on Day 7.

    Basic stats up til then

  • 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.

  • This is the first one with any Data mining theory explained. I liked it.

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