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Statistical Machine Learning

Carnegie Mellon University,, Spring 2018 , Prof. Ryan Tibshirani

Updated On 02 Feb, 19

Overview

Statistical Machine Learning,10-702/36-702, is a second graduate level course in advanced machine learning. The term statistical in the title reflects the emphasis on statistical theory and methodology.
The course combines methodology with theoretical foundations. Theorems are presented together
with practical aspects of methodology and intuition to help students develop tools for selecting
appropriate methods and approaches to problems in their own research. The course includes topics
in statistical theory that are important for researchers in machine learning, including nonparametric
theory, consistency, minimax estimation, and concentration of measure.

Includes

Lecture 18: Lecture 18: Sparsity and the lasso

4.1 ( 11 )


Lecture Details

Lecture Date: Mar 30, 2017.
http://www.stat.cmu.edu/~ryantibs/statml/
Last 10 mins are missing due to physical problems

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Sam

Excellent course helped me understand topic that i couldn't while attendinfg my college.

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Dembe

Great course. Thank you very much.

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