Mathematical Statistics for Data Science




Ex-Google data scientist’s guide to mathematical statistics, covering method of moments, maximum likelihood, and more


  • Learn how to use the method of moments and maximum likelihood estimation to learn from data
  • Learn how to evaluate and compare different methods using notions such as bias, variance, and mean squared error.
  • Master the Bernoulli, Uniform and Normal Distributions
  • Learn about the Cramer-Rao lower bound and how to know if we have found the best possible estimator
  • Learn to evaluate asymptotic properties of estimators, including consistency and the central limit theorem.
  • Learn to create confidence intervals

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