Machine Learning and Cognition in Enterprises: Business Intelligence Transformed
by: Rohit Kumar
Print Length 页数: 306 pages
Edition 版次: 1st ed.
Language 语言: English
Publisher finelybook 出版社: Apress
Publication Date 出版日期: 2017-12-18
ISBN-10: 148423068X
ISBN-13: 9781484230688
Book Description
By finelybook
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.
What You’ll Learn
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
Who This Book Is For
Business managers and leadership teams.
Contents
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: Principles for Cognitive Systems
Chapter 9: Parallel Evolving IT-BI Systems
Chapter 10: Transformation Roadmap
Chapter 11: Transformation Road Blockers
Chapter 12: Self-Evolving Cognitive Business
Chapter 13: Path Ahead
