Statistical Machine Learning
Carnegie Mellon University,, Spring 2018 , Prof. Ryan Tibshirani
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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.
4.1 ( 11 )
Lecture Date: Feb 07, 2017.
Missing all audio and the first 25 minutes of class.
Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
March 29, 2019
Great course. Thank you very much.