https://github.com/piercingdan/mat245

University of Toronto MAT245 Fall 2017
https://github.com/piercingdan/mat245

Last synced: about 1 year ago
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University of Toronto MAT245 Fall 2017

• Host: GitHub
• URL: https://github.com/piercingdan/mat245
• Owner: PiercingDan
• License: mit
• Created: 2017-08-16T15:08:16.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2017-12-18T18:15:51.000Z (over 8 years ago)
• Last Synced: 2025-02-14T18:23:13.130Z (over 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 1.01 MB
• Stars: 4
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# MAT245: Mathematical Methods in Data Science

**Instructor:** Nicholas Hoell

**Teaching Assistants:** Danny Luo, Gideon Providence\* , Matt Sourisseau\*\*

**Course Description:** An introduction to the mathematical methods behind scientific techniques developed for extracting information from large data sets. Elementary probability density functions, conditional expectation, inverse problems, regularization, dimension reduction, gradient methods, singular value decomposition and its applications, stability, diffusion maps. Examples from applications in data science and big data. 

*Prerequisite:* MAT137Y1/MAT157Y1, MAT223H1/MAT240H1, MAT224H1/MAT247H1

*Corequisite:* MAT237Y1/MAT257Y1

*Distribution Requirement:* Science

*Breadth Requirement:* The Physical and Mathematical Universes (5)




  

*\* Main creator of lab content*

*\*\* Marker*