Hiển thị biểu ghi dạng vắn tắt

dc.contributor.authorHurwitz, Judith
dc.contributor.authorKaufman, Marcia
dc.contributor.authorBowles, Adrian
dc.date.issued2015
dc.identifier.isbn978-1-118-89678-5
dc.identifier.isbn978-1-118-89663-1
dc.identifier.urihttps://thuvienso.hoasen.edu.vn/handle/123456789/11652
dc.description.abstractCognitive computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book 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. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon.
dc.formatxxi, 266 p. : ill.
dc.language.isoen
dc.publisherJohn Wiley & Sons, Inc.
dc.subjectArtificial intelligence
dc.subjectCognitive science
dc.subjectHuman-computer interaction
dc.titleCognitive computing and big data analytics
dc.typeBook


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Hiển thị biểu ghi dạng vắn tắt