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Mathematical Foundations for Data Analysis

Jeff M. Phillips

  • 176 pages
  • 1.7 MB
  • PDF

The mathematical toolkit behind modern data analysis, covering probability, linear algebra, distances, clustering, regression, and dimensionality reduction. Built from two university courses designed to prepare students for rigorous machine learning work.

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