Bruce Peter: Practical Statistics for Data Scientists: 50+ Essential Concepts Using R an
Doporučená cena: 2169,- Kč
Naše cena: 1844,- Kč
(sleva 15 % - ušetříte 325 Kč)
Autor: Bruce Peter
Druh vazby: Knihy - paperback
Počet stran: 350
Rozměr: 168 x 233 mm
Vydáno: 2020-05-01
Stav: Skladem v externím skladu
Datum odeslání: Do týdne
EAN: 9781492072942
Nakladatelství: John Wiley & Sons Ltd.
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Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you’ll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher-quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data
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