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
Computational Statistics in Data Science
Language: de
Pages: 672
Authors: Richard A. Levine
Categories: Mathematics
Type: BOOK - Published: 2022-03-23 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Ein unverzichtbarer Leitfaden bei der Anwendung computergestützter Statistik in der modernen Datenwissenschaft In Computational Statistics in Data Science prä
Probability and Statistics for Data Science
Language: en
Pages: 289
Authors: Norman Matloff
Categories: Business & Economics
Type: BOOK - Published: 2019-06-21 - Publisher: CRC Press

DOWNLOAD EBOOK

Probability and Statistics for Data Science: Math + R + Data covers "math stat"—distributions, expected value, estimation etc.—but takes the phrase "Data Sc
Statistics for Data Science
Language: en
Pages: 279
Authors: James D. Miller
Categories: Computers
Type: BOOK - Published: 2017-11-17 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Get your statistics basics right before diving into the world of data science About This Book No need to take a degree in statistics, read this book and get a s
Foundations of Statistics for Data Scientists
Language: en
Pages: 486
Authors: Alan Agresti
Categories: Business & Economics
Type: BOOK - Published: 2021-11-22 - Publisher: CRC Press

DOWNLOAD EBOOK

Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for st