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"This is a comprehensive guide to learning technologies that unlock the value in big data. Cognitive 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 computings 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."
"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. --"
"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. --"@en

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Cognitive computing and big data analytics

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