Now showing items 1-3 of 120

    • 18.S096 Matrix Calculus for Machine Learning and Beyond, January IAP 2022 

      Edelman, Alan; Johnson, Steven G. (2022)
      We all know that calculus courses such as 18.01 Single Variable Calculus and 18.02 Multivariable Calculus cover univariate and vector calculus, respectively. Modern applications such as machine learning require the next ...
    • 18.S097 Introduction to Metric Spaces, January IAP 2022 

      Bright, Paige (2022-01)
      This course provides a basic introduction to metric spaces. It covers metrics, open and closed sets, continuous functions (in the topological sense), function spaces, completeness, and compactness.
    • 18.05 Introduction to Probability and Statistics, Spring 2014 

      Orloff, Jeremy; Bloom, Jonathan (2014-06)
      This course provides an elementary introduction to probability and statistics with applications. Topics include: basic combinatorics, random variables, probability distributions, Bayesian inference, hypothesis testing, ...