Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, 11/e (IE-Paperback)
暫譯: 分析、數據科學與人工智慧：決策支持系統，第11版 (IE-平裝本)

Ramesh Sharda , Dursun Delen , Efraim Turban

Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, 11/e (IE-Paperback)

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商品描述

For courses in decision support systems, computerized decision-making tools, and management support systems.

Market-leading guide to modern analytics, for better business decisions
Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organizations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganization reflecting a new focus - analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.

商品描述(中文翻譯)

本書適用於決策支援系統、電腦化決策工具及管理支援系統的課程。

市場領先的現代分析指南，助您做出更好的商業決策
《分析、數據科學與人工智慧：決策支援系統》是對被統稱為分析（或商業分析）的技術及設計和開發這些系統所需的基本方法、技術和軟體的最全面介紹。學生可以從使用分析進行決策的組織範例中獲得靈感，同時利用伴隨網站的資源。第11版新增六個章節，標誌著一次重大的重組，反映出新的重點——分析及其促成技術，包括人工智慧、機器學習、機器人技術、聊天機器人和物聯網。

目錄大綱

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

目錄大綱(中文翻譯)

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

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