The Elements of Statistical Learning

The Elements of Statistical Learning

Introduction: The Elements of Statistical Learning Reading Club

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Summary: elements-of-statistical-learning Reading club: The Elements of Statistical Learning Online Course: StatLearning@Standford An Introductory Book: http://www-bcf.usc.edu/~gareth/ISL/ISLR%20Seventh%20Printing.pdf http://www.dataschool.io/15-hours-of-expert-machine-learning-videos/ The easiest way of creating notes is to duplicate one of the previous .md files and make changes to it. Code of conduct: Create a markdown file with extension .md; Any file name works, however, file names begins with two-digit number would be a nice convention. The markdown file has to include a header session that specifies the meta data.
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00.The Elements of Statistical Learning Reading Club

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Summary: Introduction to reading club of The Elements of Statistical Learning, schedule, and notice
Pages: 7

01.Introductions (Review) and Several Preliminary Statistical Methods

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Summary: Some basics of statistical learning; least squares and k nearest neighbors; statistical decision theory; local methods in high dimensions
Pages: 7

02.Linear Methods for Regression

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Summary: Linear regression, least squares
Pages: 7

03.Guass-Markov Theorem and Multiple Regression

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Summary: Gauss-Markov Theorem
Pages: 7

04.Shrinkage Methods

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Summary: Shrinkage methods
Pages: 7

05.Least Angle Regression

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Summary: Least angle regression, aka, LAR
Pages: 7