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Book Cognitive Computing and Big Data Analytics by Hurwitz, Judith, Kaufman, Marcia, Bowles, Adrian (2015)


Cognitive Computing and Big Data Analytics by Hurwitz, Judith, Kaufman, Marcia, Bowles, Adrian (2015)

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  • PDF | Unknown pages
  • Wiley (1900)
  • Unknown
  • 6
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Review Text

  • By Nikita on April 21, 2015

    There is no "how" in this book, there is no detailed guidance, there is no guidance at all. First I thought that it might get 3 stars just for being an encyclopedia for dummies with no interrelation between entities. No, it's not even that.Here is one phrase you pay for buying this book, it's located on page 71: "[cognitive computing] is analogous to the way a child learns about the world through observation, experience, and perhaps instruction". There is nothing before that phrase in the book, nothing (new) after. There is no "how" besides a lot of hand weaving, speculations, stating obvious facts (sometimes), and a LOT of water in between. A lot. Just plain water, no information at all.Maybe not surprisingly, the authors wrote more than 5 books together in the "For Dummies" series. I would argue that even book for a "dummy" have to have some knowledge synthesis, some information, and most of them do.This book is just a fake. A rip off?

  • By Marc Schneiderman on April 29, 2016

    As a practitioner who builds cognitive systems, I thought this book was very good read. Not because it is a hands on 'how to' book, which it is not. But because it discusses from a high level perspective, all of the diverse technologies that have to be used together, and fully integrated, within a cognitive computing platform. Throughout the book, real world use cases are discussed, as they relate to a specific component within such an environment. What I would like to see in a future revision, is a discussion of Prolog in the chapter on knowledge representation, as it is an International Standards Organization (ISO) AI programming language used throughout the world. In addition, the book has a slight bias, to cognitive computing a la big blue, as there is a chapter devoted to their product offering. I would like to see some additional material added that covers smaller startups that have more innovative technology, such as nTeligence and their cognition platform.

  • By Data Guy on February 1, 2016

    This book does a good job of instructing readers on cognitive computing: from the basics of what it is -to- its various components (e.g. machine learning, natural language processing, etc.) -to- its growth due to the rise of big data analytics, and even provides examples of projects showing how it works and it promise. As an IBM supporter I particularly enjoyed the chapter in IBM Watson. But really, the entire book is worthwhile and if you have any interest at all in how computers can gain cognitive capabilities, you should pick up a copy of this book.

  • By Duvier Zuluaga on June 21, 2016

    Very good introductory book. Certainly it does not enter into technical details, but for a general overview of Cognitive Computing and its applications it is a good start

  • By James M McAssey on October 22, 2015

    Very thorough review of the technology. There is not much out there yet on the Cognitive Computing topic.

  • By Chris Wicher on March 19, 2015

    This book delivers a comprehensive overview of the "spectrum" of cognitive computing and Big Data analytics. A must read for anyone who wants to understand the scope/range/facets/topics of cognitive computing. A must read for anyone in leadership who wants to leverage cognitive computing for customer/business value. A must read for anyone who wants to get a head start on one of the most important fields in the future of IT and customer/business value. Not only does the book cover the salient technical topics, but does so in a context of customer/business value. Of particular interest is the "look at the future", since cognitive computing is clearly an important driver/enabler of same.

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