Fundamentals of Data Science Part I - cover

Fundamentals of Data Science Part I

Jared M Maruskin

  • 30 april 2021
  • 9781941043110
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In Part I of this series, we cover basic statistical inference and experimentation, focusing on: - basic statistics;- derivation and review of key distributions and their relations;- hypothesis testing, including an in depth power analysis for the chi-squared statistic;- experimentation, including A/B tests, stratification, one- and two-factor experiments, and an introduction to bandit algorithms; - maximum likelihood;- gradient descent;- introduction to survival analysis and stochastic processes, including empirical estimation of online survival and event processes.The theory is illustrated with simulations in Python throughout the text.

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