Published by Pearson (September 15, 2020) © 2020
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Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is your comprehensive introduction to technologies collectively called analytics (or business analytics). Guided by this market-leading text, you'll learn the fundamental methods, techniques, and software used to design and develop these systems. You'll benefit from real-world examples, provided throughout, of organizations that have employed analytics to make sound business decisions. Supporting materials, such as software tutorials, are also provided through a companion website.
With 6 new chapters, the 11th Edition marks a major reorganization reflecting a new focus on analytics and its enabling technologies. These technologies, all of which receive updated coverage in this edition, include AI, machine-learning, robotics, chatbots, and IoT.
PART I: INTRODUCTION TO ANALYTICS AND AI
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
PART II: PREDICTIVE ANALYTICS AND MACHINE LEARNING
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
PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA
8. Prescriptive Analytics with Optimization and Simulation
9. Big Data, Location Analytics, and Cloud Computing
PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT
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
PART V: CAVEATS OF ANALYTICS AND AI
14. Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts
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