Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Fundamentals of Data Science Part I: Inference and Experiment

Fundamentals of Data Science Part I: Inference and Experiment

Maruskin, Jared M.

Paperback

General ComputersProbability & Statistics

ISBN10: 1941043119
ISBN13: 9781941043110
Publisher: Cayenne Canyon Press
Published: Apr 30 2021
Pages: 314
Weight: 0.97
Height: 0.66 Width: 6.14 Depth: 9.21
Language: English

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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