Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support (11版)

PART I: INTRODUCTION TO ANALYTICS AND AI
Ch 1 Overview of Business Intelligence, Analytics, Data Science, and Artificial Intelligence: Systems for Decision Support
Ch 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
Ch 3 Nature of Data, Statistical Modeling, and Visualization

PART II: PREDICTIVE ANALYTICS/MACHINE LEARNING
Ch 4 Data Mining Process, Methods, and Applications
Ch 5 Machine-Learning Techniques for Predictive Analytics
Ch 6 Deep Learning and Cognitive Computing
Ch 7 Text Mining, Sentiment Analysis, and Social Analytics

PART III: PRESCRIPTIVE ANALYTICS AND BIG DATA
Ch 8 Prescriptive Analytics: Optimization and Simulation
Ch 9 Big Data, Cloud Computing, and Location Analytics: Concepts and Tools

PART IV: ROBOTICS, SOCIAL NETWORKS, AI, AND IoT
Ch10 Robotics: Industrial and Consumer Applications
Ch11 Group Decision Making, Collaborative Systems, and AI Support
Ch12 Knowledge Systems: Expert Systems, Recommenders, Chatbots, Virtual Personal Assistants, and Robo Advisors
Ch13 The Internet of Things As a Platform for Intelligent Applications

PART V: CAVEATS OF ANALYTICS AND AI
Ch14 Implementation Issues: From Ethics and Privacy to Organizational and Societal Impacts