Cognitive computing and big data analytics /

This book provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. It helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural langu...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Hurwitz, Judith (Συγγραφέας), Kaufman, Marcia (Συγγραφέας), Bowles, Adrian, 1952- (Συγγραφέας)
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken : John Wiley & Sons, 2015.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη:This book provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. It helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Case examples from financial, healthcare, and manufacturing walk readers through the design and testing of cognitive systems. Topics include: how cognitive computing evolved from promise to reality; elements of a cognitive computing system; hardware and software technologies behind cognitive computing; evaluation of your own application portfolio; cognitive computing capabilities to transform the organization. --
Περιγραφή τεκμηρίου:Includes index.
Φυσική περιγραφή:1 online resource
ISBN:9781119183648
1119183642
9781118896631
1118896637
1118896785
9781118896785
DOI:10.1002/9781119183648