Practical Statistics for Data Scientists

Practical Statistics for Data Scientists
Author :
Publisher : "O'Reilly Media, Inc."
Total Pages : 322
Release :
ISBN-10 : 9781491952917
ISBN-13 : 1491952911
Rating : 4/5 (17 Downloads)

Book Synopsis Practical Statistics for Data Scientists by : Peter Bruce

Download or read book Practical Statistics for Data Scientists written by Peter Bruce and published by "O'Reilly Media, Inc.". This book was released on 2017-05-10 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Related Books

Practical Statistics for Data Scientists
Language: en
Pages: 322
Authors: Peter Bruce
Categories: Computers
Type: BOOK - Published: 2017-05-10 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

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 r
Statistical Data Analysis
Language: en
Pages: 218
Authors: Glen Cowan
Categories: Mathematics
Type: BOOK - Published: 1998 - Publisher: Oxford University Press

DOWNLOAD EBOOK

This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at
Applied Statistical Modeling and Data Analytics
Language: en
Pages: 252
Authors: Srikanta Mishra
Categories: Science
Type: BOOK - Published: 2017-10-27 - Publisher: Elsevier

DOWNLOAD EBOOK

Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern
Introduction to Statistics and Data Analysis
Language: en
Pages: 584
Authors: Christian Heumann
Categories: Mathematics
Type: BOOK - Published: 2023-01-30 - Publisher: Springer Nature

DOWNLOAD EBOOK

Now in its second edition, this introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It
Statistical Analysis and Data Display
Language: en
Pages: 739
Authors: Richard M. Heiberger
Categories: Mathematics
Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrat