Graduate

Machine Learning and Computational Statistics (David Sontag )

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Individual Authors
Author: 
David Sontag
Year: 
2014
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Attribution-NonCommercial-ShareAlike 2.0 Generic
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Description: 
Machine learning is an exciting and fast-moving field at the intersection of computer science, statistics, and optimization with many recent consumer applications (e.g., Microsoft Kinect, Google Translate, Iphone's Siri, digital camera face detection, Netflix recommendations, Google news). Machine learning and computational statistics also play a central role in data science. In this graduate-level class, students will learn about the theoretical foundations of machine learning and computational statistics and how to apply these to solve new problems. This is a required course for the MS in Data Science and should be taken in the first year of study; it is also suitable for MS and Ph.D. students in Computer Science and related fields.
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