Statistical Machine Learning

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

430 students enrolled

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.

Lecture 1: Lecture 01: Linear regression

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        Lecture Details

        Lecture Date: Jan 17, 2017. http://www.stat.cmu.edu/~ryantibs/statml/

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