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Data Science for Business

Language EnglishEnglish
Book Paperback
Book Data Science for Business Foster Provost & Tom Fawcett
Libristo code: 01368546
Publishers O'Reilly Media, Inc, USA, August 2013
Data Science for Business, by highly cited authors Foster Provost and Tom Fawcett, is intended for (... Full description
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Data Science for Business, by highly cited authors Foster Provost and Tom Fawcett, is intended for (i) those who need to understand data science/data mining broadly and (ii) those who want to develop their skill at data-analytic thinking. It is not a book about algorithms. Instead it presents a set of fundamental principles for getting business value by extracting useful knowledge from data. These fundamental principles are the foundation for many data mining techniques, but they also are the basis for frameworks for approaching business problems data-analytically, evaluating data science solutions, and evaluating general plans for data analytics.§After reading the book, the reader should be able to:§Envision data science opportunities§Discuss data science intelligently with data scientists and with other stakeholders§Better understand proposals for data science projects and investments§Participate integrally in data science projects.

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About the book

Full name Data Science for Business
Author Foster Provost & Tom Fawcett
Language English
Binding Book - Paperback
Date of issue 2013
Number of pages 408
EAN 9781449361327
ISBN 1449361323
Libristo code 01368546
Publishers O'Reilly Media, Inc, USA
Weight 720
Dimensions 179 x 234 x 21

Categories

Economics, Finance, Business & Management > Business & Management > Management & management techniques > Knowledge management
Economics, Finance, Business & Management > Business & Management > Management & management techniques > Management of specific areas
Computing & Information Technology > Computer science > Human–computer interaction > Information architecture
Computing & Information Technology > Databases > Database design & theory
Computing & Information Technology > Databases > Data mining
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