Description: Title: Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python Author: Bruce, Peter Publisher: O'Reilly Media Binding: Paperback Pages: 360 Dimensions: 9.10h x 7.00w x 0.90d Product Weight: 1.3 lbs. Language: English ISBN: 9781492072942 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 Ships Fast From The USA! Authorized Dealer
Price: 84.99 USD
Location: La Vergne, Tennessee
End Time: 2024-10-27T01:20:42.000Z
Shipping Cost: 9.95 USD
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Book Title: O'Reilly Media
Number of Pages: 360 Pages
Language: English
Publication Name: Practical Statistics for Data Scientists : 50+ Essential concepts Using Rand Python
Publisher: O'reilly Media, Incorporated
Subject: Databases / Data Warehousing, Data Processing, Databases / Data Mining, Mathematical Analysis
Publication Year: 2020
Item Height: 0.9 in
Item Weight: 22.3 Oz
Type: Textbook
Item Length: 9.2 in
Subject Area: Mathematics, Computers
Author: Peter Bruce, Peter Gedeck, Andrew Bruce
Item Width: 7 in
Format: Trade Paperback
