Fundamentals of Data Science Part I: Inference and Experiment

By Jared M Maruskin

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.

• Format: Paperback
• Language: English
• ISBN: 1941043119
• ISBN13: 9781941043110
• Release Date: April 2021
• Publisher: Cayenne Canyon Press
• Length: 314 Pages
• Weight: 0.97 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"