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| [[Meeting-2016-11-Attendees|Attendees]] | [[/Attendees|Attendees]] |
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| * An Introduction to Statistical Learning - http://www-bcf.usc.edu/~gareth/ISL/ * The Elements of Statistical Learning - http://statweb.stanford.edu/~tibs/ElemStatLearn/ |
* AnIntroductionToStatisticalLearning * TheElementsOfStatisticalLearning |
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| * We will read and discuss chapter 1 of http://www-bcf.usc.edu/~gareth/ISL/ | * We will read and discuss chapter 1 of AnIntroductionToStatisticalLearning |
Nov 10, 2016
- How do you approach a data set?
- What am I trying to get out of this?
- General insight - clustering
- Which attributes are similar?
- What makes them similar?
- General insight - clustering
- What am I trying to get out of this?
Books
In-depth introduction to machine learning in 15 hours of expert videos https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/ Trevor Hastie Robert Tibshirani
David Owen’s Presentation on Linear Classification - He will provide a zipball with his code and presentation
Showed examples with synthetic data set and Fisher Iris Data set
Next Time
- David Owen will finish presentation in about 15-20 minutes. He will wait until next month to send the code
We will read and discuss chapter 1 of AnIntroductionToStatisticalLearning