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Test Bank – Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, 11th Global Edition by Ramesh Sharda | Chapter 1-14 | All Chapters

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Develop a deeper understanding of analytics, data science, and artificial intelligence with this Test Bank for Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, 11th Global Edition by Ramesh Sharda and Dursun Delen. ISBN13: 9781292341552. This resource provides assessment support for reviewing key concepts, preparing for quizzes and exams, and reinforcing decision-support systems, analytics, data science, and AI topics. The complete table of contents is provided below for easy reference. Ideal for quizzes, assignments, exam preparation, self-study, and instructor support. 1. An Overview of Business Analytics, Decision Support Systems, Business Intelligence, Data Science, and Artificial Intelligence 2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications 3. Nature of Data, Statistical Modeling, and Visualization 4. Data Mining Process, Methods, and Applications 5. Machine learning Techniques for Predictive Analytics 6. Deep Learning and Cognitive Computing 7. Text Mining, Sentiment Analysis, and Social Analytics 8. Prescriptive Analytics with Optimization and Simulation 9. Big Data, Location Analytics, and Cloud Computing 10. Robotics: Industrial and Consumer Applications 11. Group Decision Making, Collaborative Systems, and AI Support 12. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors 13. The Internet of Things As a Platform for Intelligent Applications 14. Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts

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Table of ConTenTs
Test Bank for Analytics, Data Science, & Artificial Intelligence: Systems
for Decision Support, 11th Edition — Ramesh Sharda and co-authors,

PART I: INTRODUCTION TO ANALYTICS AND AI
Chapter 1. An Overview of Business Analytics, Decision Support Systems, Business Intelligence,
Data Science, and Artificial Intelligence

Chapter 2. Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business
Applications
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Chapter 3. Nature of Data, Statistical Modeling, and Visualization

PART II: PREDICTIVE ANALYTICS AND MACHINE LEARNING
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Chapter 4. Data Mining Process, Methods, and Applications

Chapter 5. Machine Learning Techniques for Predictive Analytics
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Chapter 6. Deep Learning and Cognitive Computing

Chapter 7. Text Mining, Sentiment Analysis, and Social Analytics
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PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA
Chapter 8. Prescriptive Analytics with Optimization and Simulation
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Chapter 9. Big Data, Location Analytics, and Cloud Computing

PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT
Chapter 10. Robotics: Industrial and Consumer Applications

Chapter 11. Group Decision Making, Collaborative Systems, and AI Support

Chapter 12. Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal
Assistants, and Robo Advisors

Chapter 13. The Internet of Things as a Platform for Intelligent Applications

,PART V: CAVEATS OF ANALYTICS AND AI
Chapter 14. Implementation Issues: From Ethics and Privacy to Organizational and Societal
Impacts
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Connected book
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Ramesh Sharda, Dursun Delen, Efraim Turban Analytics, Data Science, and Artificial Intelligence
Publisher: 2020 ISBN: 9781292341552 Edition: Unknown

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