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Machine learning and cognition in en...

Kumar, Rohit.

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Machine learning and cognition in enterprises = business intelligence transformed /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and cognition in enterprises/ by Rohit Kumar.
其他題名:	business intelligence transformed /
作者:	Kumar, Rohit.
出版者:	Berkeley, CA :Apress : : 2017.,
面頁冊數:	xxviii, 306 p. :ill., digital ;24 cm.
內容註:	Chapter 1: Journey of Business Intelligence -- Chapter 2: Why Cognitive and Machine Learning -- Chapter 3: Artificial Intelligence Basics -- Chapter 4: Machine Learning Basics -- Chapter 5: Natural language Processing -- Chapter 6: Predictive analytics -- Chapter 7: Cognitive Computing -- Chapter 8: Principle for cognitive designed systems -- Chapter 9: New Term : Self/Parallel Evolving IT-BI systems -- Chapter 10: Roadmap for Transformation -- Chapter 11: Roadblocks for Transformation -- Chapter 12: Self evolving Cognitive business systems -- Chapter 13: Path Ahead.
Contained By:	Springer eBooks
標題:	Machine learning. -
電子資源:	http://dx.doi.org/10.1007/978-1-4842-3069-5
ISBN:	9781484230695

Machine learning and cognition in enterprises = business intelligence transformed /
Kumar, Rohit.

Machine learning and cognition in enterprisesbusiness intelligence transformed /[electronic resource] :by Rohit Kumar. - Berkeley, CA :Apress :2017. - xxviii, 306 p. :ill., digital ;24 cm.

Chapter 1: Journey of Business Intelligence -- Chapter 2: Why Cognitive and Machine Learning -- Chapter 3: Artificial Intelligence Basics -- Chapter 4: Machine Learning Basics -- Chapter 5: Natural language Processing -- Chapter 6: Predictive analytics -- Chapter 7: Cognitive Computing -- Chapter 8: Principle for cognitive designed systems -- Chapter 9: New Term : Self/Parallel Evolving IT-BI systems -- Chapter 10: Roadmap for Transformation -- Chapter 11: Roadblocks for Transformation -- Chapter 12: Self evolving Cognitive business systems -- Chapter 13: Path Ahead.

Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that complement and extend machine learning. In this book, author Rohit Kumar explores the challenges when these concepts intersect in IT systems by presenting detailed descriptions and business scenarios. He starts with the basics of how artificial intelligence started and how cognitive computing developed out of it. He'll explain every aspect of machine learning in detail, the reasons for changing business models to adopt it, and why your business needs it. Along the way you'll become comfortable with the intricacies of natural language processing, predictive analytics, and cognitive computing. Each technique is covered in detail so you can confidently integrate it into your enterprise as it is needed. This practical guide gives you a roadmap for transformin g your business with cognitive computing, giving you the ability to work confidently in an ever-changing enterprise environment. You will: See the history of AI and how machine learning and cognitive computing evolved Discover why cognitive computing is so important and why your business needs it Master the details of modern AI as it applies to enterprises Map the path ahead in terms of your IT-business integration Avoid common road blocks in the process of adopting cognitive computing in your business.

ISBN: 9781484230695

Standard No.: 10.1007/978-1-4842-3069-5doiSubjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and cognition in enterprises = business intelligence transformed /
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505 0 $a Chapter 1: Journey of Business Intelligence -- Chapter 2: Why Cognitive and Machine Learning -- Chapter 3: Artificial Intelligence Basics -- Chapter 4: Machine Learning Basics -- Chapter 5: Natural language Processing -- Chapter 6: Predictive analytics -- Chapter 7: Cognitive Computing -- Chapter 8: Principle for cognitive designed systems -- Chapter 9: New Term : Self/Parallel Evolving IT-BI systems -- Chapter 10: Roadmap for Transformation -- Chapter 11: Roadblocks for Transformation -- Chapter 12: Self evolving Cognitive business systems -- Chapter 13: Path Ahead.
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