Practical Statistics For Data Scientists 2nd Edition

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Practical Statistics For Data Scientists

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Author : Peter Bruce
language : en
Publisher: O'Reilly Media
Release Date : 2020-04-10

Practical Statistics For Data Scientists written by Peter Bruce and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-10 with Computers categories.

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 science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data

Practical Statistics For Data Scientists 2nd Edition

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Author : Peter Bruce
language : en
Publisher:
Release Date : 2020

Practical Statistics For Data Scientists 2nd Edition written by Peter Bruce and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.

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 practical guide-now including examples in Python as well as R-explains how to apply various 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 scientists use statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages, and have had some exposure to statistics but want to learn more, this quick reference bridges the gap in an accessible, readable format. With this updated edition, you'll dive into: Exploratory data analysis Data and sampling distributions Statistical experiments and significance testing Regression and prediction Classification Statistical machine learning Unsupervised learning.

Practical Statistics For Data Scientists

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Author : Peter Bruce
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-05-10

Practical Statistics For Data Scientists written by Peter Bruce and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-10 with Computers categories.

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various 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 programming language, 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 science How random sampling can reduce bias and yield a higher quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that “learn” from data Unsupervised learning methods for extracting meaning from unlabeled data

Practical Statistics For Data Scientists

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Author : Peter C. Bruce
language : en
Publisher:
Release Date : 2017

Practical Statistics For Data Scientists written by Peter C. Bruce and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Big data categories.

"Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various 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 programming language, 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 science ; How random sampling can reduce bias and yield a higher quality dataset, even with big data ; How the principles of experimental design yield definitive answers to questions ; How to use regression to estimate outcomes and detect anomalies ; Key classification techniques for predicting which categories a record belongs to ; Statistical machine learning methods that 'learn' from data ; Unsupervised learning methods for extracting meaning from unlabeled data"--Provided by publisher.

Practical Statistics For Business

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Author : Ruth Ravid
language : en
Publisher: University Press of America
Release Date : 2007-10-23

Practical Statistics For Business written by Ruth Ravid and has been published by University Press of America this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-23 with Mathematics categories.

This innovative new approach to statistics simplifies concepts for those using them in the business world. The book discusses the basics of statistics starting with an introduction to business research. It explores how and why to apply statistics to business research. The text covers all relevant descriptive statistics, normal curves and standard scores; correlation; regression; and inferential statistics. It also includes a section on validity and reliability. The book ends with a section on using statistics in a research study and testing students' ability to identify when to use each statistical test.

Practical Statistics For The Analytical Scientist

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Author : S. L. R. Ellison
language : en
Publisher: Royal Society of Chemistry
Release Date : 2009

Practical Statistics For The Analytical Scientist written by S. L. R. Ellison and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Mathematics categories.

This manual is designed to assist analytical chemists who have to use a range of statistical tools in their treatment of experimental data to obtain reliable results.

The Cumulative Book Index

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Author :
language : en
Publisher:
Release Date : 1997

The Cumulative Book Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with American literature categories.

A world list of books in the English language.

Book Review Index

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Author :
language : en
Publisher:
Release Date : 2003

Book Review Index written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Books categories.

Every 3rd issue is a quarterly cumulation.

How To Interpret Statistical Data

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Author : Ian Stuart Simpson
language : en
Publisher: London : Library Association
Release Date : 1990

How To Interpret Statistical Data written by Ian Stuart Simpson and has been published by London : Library Association this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Mathematics categories.

The nature of data; Representation of data; Presentation of data; Manipulation of data.

Annual Book Of Astm Standards

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Author : ASTM International
language : en
Publisher:
Release Date : 2003

Annual Book Of Astm Standards written by ASTM International and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Materials categories.