Fundamentals of Data Science Part I - by Jared M Maruskin (Paperback)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p>In Part I of this series, we cover basic statistical inference and experimentation, focusing on: </p><ul><li>basic statistics;</li><li>derivation and review of key distributions and their relations;</li><li>hypothesis testing, including an in depth power analysis for the chi-squared statistic;</li><li>experimentation, including A/B tests, stratification, one- and two-factor experiments, and an introduction to bandit algorithms; </li><li>maximum likelihood;</li><li>gradient descent;</li><li>introduction to survival analysis and stochastic processes, including empirical estimation of online survival and event processes.</li></ul><p>The theory is illustrated with simulations in Python throughout the text.</p>
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