Description: 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.
Price: 41 USD
Location: Kalamazoo, Michigan
End Time: 2024-11-05T22:20:19.000Z
Shipping Cost: 6.38 USD
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Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 14 Days
Refund will be given as: Money Back
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
Publication Year: 2020
Subject: Data Processing, Databases / Data Warehousing, Databases / Data Mining, Mathematical Analysis
Item Height: 0.9 in
Item Weight: 22.3 Oz
Type: Textbook
Subject Area: Computers, Mathematics
Author: Peter Bruce, Peter Gedeck, Andrew Bruce
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback
