# Statistical Machine Learning

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

Updated On 02 Feb, 19

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

Updated On 02 Feb, 19

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.

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4.1 ( 11 )

Lecture Date: Jan 17, 2017.

http://www.stat.cmu.edu/~ryantibs/statml/

Sam

Sep 12, 2018

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

Dembe

March 29, 2019

Great course. Thank you very much.