Fundamentals of Data Science Part I

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Sprache: Englisch

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Beschreibung

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.

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.

Details

Erscheinungsjahr:	2021
Fachbereich:	Wahrscheinlichkeitstheorie
Genre:	Importe , Mathematik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
ISBN-13:	9781941043110
ISBN-10:	1941043119
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Maruskin, Jared M
Hersteller:	Cayenne Canyon Press
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße:	234 x 156 x 17 mm
Von/Mit:	Jared M Maruskin
Erscheinungsdatum:	30.04.2021
Gewicht:	0,44 kg