Practical Statistics for Data Scientists is popular PDF and ePub book, written by Peter Bruce in 2017-05-10, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Practical Statistics for Data Scientists can be Read Online from any device for your convenience.
Practical Statistics for Data Scientists Book PDF Summary
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
Detail Book of Practical Statistics for Data Scientists PDF
- Author : Peter Bruce
- Release : 10 May 2017
- Publisher : "O'Reilly Media, Inc."
- ISBN : 9781491952917
- Genre : Computers
- Total Page : 322 pages
- Language : English
- PDF File Size : 19,7 Mb
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