Fundamentals of Data Science Part I: Inference and Experiment - Tapa blanda

Maruskin, Jared M

 
9781941043110: Fundamentals of Data Science Part I: Inference and Experiment

Sinopsis

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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