Talk:Statistical learning theory

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Online learning

Latest comment: 11 years ago1 comment1 person in discussion

I'm taking a free online course MOOC (Massive Open Online Course) from Stanford University on "Statistical Learning" — FYI.

Here is a link to see what is covered in the course: https://class.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/

• Week 1: Introduction and Overview of Statistical Learning (Chapters 1-2, starts Jan 21)
• Week 2: Linear Regression (Chapter 3, starts Jan 25)
• Week 3: Classification (Chapter 4, starts Feb 1)
• Week 4: Resampling Methods (Chapter 5, starts Feb 8)
• Week 5: Linear Model Selection and Regularization (Chapter 6, starts Feb 15)
• Week 6: Moving Beyong Linearity (Chapter 7, starts Feb 22)
• Week 7: Tree-based Methods (Chapter 8, starts Mar 1)
• Week 8: Support Vector Machines (Chapter 9, starts Mar 8)
• Week 9: Unsupervised Learning (Chapter 10, starts Mar 15)

After taking the course, I'll look to help improve the Article here. TIA, Charles Edwin Shipp (talk) 01:03, 30 January 2014 (UTC)Reply

Econophysics and other dirty applications

Latest comment: 11 years ago1 comment1 person in discussion

For some reason, User:I3roly considers that certains applications of SLT, e.g. in statistical finance, should not appear on this page. Would other editors kindly explain? Jala Daibajna (talk) 14:14, 4 May 2014 (UTC)Reply

Baseball?

Latest comment: 5 years ago1 comment1 person in discussion

Is baseball really a notable enough example of an application of statistical learning theory that it deserves to be in the lead paragraph? -- Pingumeister^(talk) 13:15, 21 September 2019 (UTC)Reply