- Description
- 1 online resource : illustrations (black and white).
- Summary
- Data science has never had more influence on the world. Large companies are now seeing the benefit of employing data scientists to interpret the vast amounts of data that now exists. However, the field is so new and is evolving so rapidly that the analysis produced can be haphazard at best. 'The 9 Pitfalls of Data Science' shows us real-world examples of what can go wrong. Written to be an entertaining read, this invaluable guide investigates the all too common mistakes of data scientists - who can be plagued by lazy thinking, whims, hunches, and prejudices - and indicates how they have been at the root of many disasters, including the Great Recession.
- Series Statement
- Oxford scholarship online
- Uniform Title
- 9 pitfalls of data science (Online)
- Oxford scholarship online.
- Alternative Title
- 9 pitfalls of data science (Online)
- Nine pitfalls of data science
- Subject
- Note
- This edition also issued in print: 2019.
- Bibliography (note)
- Includes bibliographical references and index.
- Access (note)
- Access restricted to authorized users.
- Audience (note)
- Source of Description (note)
- Description based on online resource; title from home page (viewed on August 1, 2019).
- OCLC
- ssj0002709214
- Author
Smith, Gary, 1945-
- Title
The 9 pitfalls of data science [electronic resource] / Gary Smith and Jay Cordes.
- Imprint
Oxford : Oxford University Press, 2019.
- Edition
First edition.
- Series
Oxford scholarship online
Oxford scholarship online.
- Bibliography
Includes bibliographical references and index.
- Access
Access restricted to authorized users.
- Audience
Specialized.
- Connect to:
- Other Form:
Print version : 9780198844396