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Practical Statistics for Data Scientists by Bruce, Andrew Paperback / softback
FREE US DELIVERY | ISBN: 1491952962 | Quality Books
US $55.72
ApproximatelyRM 235.94
Condition:
Very Good
A book that has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear.
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Located in: Florida, United States
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Estimated between Sat, 9 Aug and Fri, 15 Aug to 94104
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eBay item number:304828354719
Item specifics
- Condition
- ISBN
- 1491952962
- EAN
- 9781491952962
- Date of Publication
- 2017-06-06
- Release Title
- Practical Statistics for Data Scientists
- Artist
- Bruce, Andrew
- Brand
- N/A
- Colour
- N/A
- Book Title
- Practical Statistics for Data Scientists
About this product
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1491952962
ISBN-13
9781491952962
eBay Product ID (ePID)
219384832
Product Key Features
Number of Pages
315 Pages
Publication Name
Practical Statistics for Data Scientists : 50 Essential concepts
Language
English
Publication Year
2017
Subject
Probability & Statistics / General, Databases / Data Warehousing, Data Processing, Databases / General
Type
Textbook
Subject Area
Mathematics, Computers
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
19.5 Oz
Item Length
9.2 in
Item Width
7 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2017-302988
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
001.4/22
Synopsis
Statistical methods are a key part 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
LC Classification Number
HA29
Item description from the seller
Seller business information
VAT number: GB 922696893
Seller feedback (1,558,825)
- a***r (162)- Feedback left by buyer.Past monthVerified purchaseItem as described by the seller shipping was expedient.
- b***o (42)- Feedback left by buyer.Past monthVerified purchaseThis little antique book was very expensive. I was shocked that It was not wrapped properly in bubble wrap. This book is from 1920s part of the binding and edges came damaged, but I’m keeping it.
- 8***m (221)- Feedback left by buyer.Past monthVerified purchaseArrived quickly and in good shape
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Seller feedback (1,558,825)
- a***r (162)- Feedback left by buyer.Past monthVerified purchaseItem as described by the seller shipping was expedient.
- b***o (42)- Feedback left by buyer.Past monthVerified purchaseThis little antique book was very expensive. I was shocked that It was not wrapped properly in bubble wrap. This book is from 1920s part of the binding and edges came damaged, but I’m keeping it.
- 8***m (221)- Feedback left by buyer.Past monthVerified purchaseArrived quickly and in good shape