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Foster Provost Data Science for Business (Paperback)
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eBay item number:335183787436
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- Book Title
- Data Science for Business
- Publication Name
- Data Science for Business : What You Need to Know about Data Mining and Data-Analytic Thinking
- Title
- Data Science for Business
- Contributor
- Tom Fawcett (Contributions by)
- Format
- Trade Paperback
- ISBN-10
- 1449361323
- EAN
- 9781449361327
- ISBN
- 9781449361327
- Publisher
- O'reilly Media, Incorporated
- Genre
- Computing & Internet
- Topic
- Business & Finance
- Release Date
- 17/09/2013
- Release Year
- 2013
- Country/Region of Manufacture
- US
- Language
- English
- Publication Year
- 2013
- Type
- Textbook
- Item Height
- 0.9in
- Item Length
- 9.1in
- Item Width
- 7.1in
- Item Weight
- 25.3 Oz
- Number of Pages
- 408 Pages
About this product
Product Information
Data Science for Business is intended for those who need to understand data science/data mining, and those who want to develop their skill at data-analytic thinking. This is not a book about algorithms. Instead it presents a set of fundamental principles for extracting useful knowledge from data.
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1449361323
ISBN-13
9781449361327
eBay Product ID (ePID)
166402440
Product Key Features
Publication Name
Data Science for Business : What You Need to Know about Data Mining and Data-Analytic Thinking
Format
Trade Paperback
Language
English
Publication Year
2013
Type
Textbook
Number of Pages
408 Pages
Dimensions
Item Length
9.1in
Item Height
0.9in
Item Width
7.1in
Item Weight
25.3 Oz
Additional Product Features
Lc Classification Number
Qa76.9.D343
Table of Content
Praise Preface Chapter 1: Introduction: Data-Analytic Thinking Chapter 2: Business Problems and Data Science Solutions Chapter 3: Introduction to Predictive Modeling: From Correlation to Supervised Segmentation Chapter 4: Fitting a Model to Data Chapter 5: Overfitting and Its Avoidance Chapter 6: Similarity, Neighbors, and Clusters Chapter 7: Decision Analytic Thinking I: What Is a Good Model? Chapter 8: Visualizing Model Performance Chapter 9: Evidence and Probabilities Chapter 10: Representing and Mining Text Chapter 11: Decision Analytic Thinking II: Toward Analytical Engineering Chapter 12: Other Data Science Tasks and Techniques Chapter 13: Data Science and Business Strategy Chapter 14: Conclusion Proposal Review Guide Another Sample Proposal Glossary Bibliography Index Colophon
Copyright Date
2013
Target Audience
Scholarly & Professional
Topic
Data Modeling & Design, General, Databases / Data Mining, Enterprise Applications / General, Business Mathematics
Dewey Decimal
006.312
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Business & Economics
Item description from the seller
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eBay item number:335183787436
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