Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Pyt

Description: Practical Statistics for Data Scientists by Peter Bruce, Andrew Bruce, Peter Gedeck 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 whats important and whats not FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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 whats important and whats not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If youre 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, youll 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 Author Biography Peter Bruce is the Founder and Chief Academic Officer of the Institute for Statistics Education at Statistics.com, which offers about 80 courses in statistics and analytics, roughly half of which are aimed at data scientists. He has authored or co-authored several books in statistics and analytics, and he earned his Bachelors degree at Princeton, and Masters degrees at Harvard and the University of Maryland. Andrew Bruce, Principal Research Scientist at Amazon, has over 30 years of experience in statistics and data science in academia, government and business. The co-author of Applied Wavelet Analysis with S-PLUS, he earned his bachelors degree at Princeton, and PhD in statistics at the University of Washington. eter Gedeck, Senior Data Scientist at Collaborative Drug Discovery, specializes in the development of machine learning algorithms to predict biological and physicochemical properties of drug candidates. Co-author of Data Mining for Business Analytics, he earned PhDs in Chemistry from the University of Erlangen-Nurnberg in Germany and Mathematics from Fernuniversitat Hagen, Germany Details ISBN149207294X Author Peter Gedeck Pages 350 Year 2020 ISBN-10 149207294X ISBN-13 9781492072942 Short Title Practical Statistics for Data Scientists Language English Edition 2nd Format Paperback Subtitle 50+ Essential Concepts Using R and Python Audience Professional and Scholarly Place of Publication Sebastopol Country of Publication United States Publication Date 2020-06-29 UK Release Date 2020-06-29 AU Release Date 2020-06-29 NZ Release Date 2020-06-29 US Release Date 2020-06-29 Imprint OReilly Media Publisher OReilly Media Edition Description 2nd New edition DEWEY 001.422 We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:128683712;

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