The 9 pitfalls of data science /

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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. 'Th...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
Smith, Gary
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
New York, New York : Oxford University Press, [2019]
Ausgabe:
First edition.
Zusammenfassung:
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.
Umfang:
1 online resource : illustrations (black and white).
Anmerkungen:
This edition also issued in print: 2019.
Zielpublikum:
Specialized.
Bibliografie:
Includes bibliographical references and index.
ISBN:
9780192582768
0192582763
9780192582751
0192582755
9780191879937
0191879932
Schlagworte:
Quantitative research.
Big data.
Bezugswerke:
Links: