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

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)

決策支援系統、電腦化決策工具和管理支援系統課程的首選教材。
現代分析技術的領先指南，幫助做出更好的商業決策。
《分析、資料科學和人工智慧：決策支援系統》是對被統稱為分析（或商業分析）的技術以及設計和開發這些系統所使用的基本方法、技巧和軟體的最全面介紹。學生可以從運用分析技術做出決策的組織實例中獲得靈感，同時還可以利用附帶網站的資源。第11版新增了六章，這次重大改版反映了一個新的焦點 - 分析及其支援技術，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)

第一部分：分析和人工智慧介紹
第1章：商業智能、分析、資料科學和人工智慧概述：決策支援系統
第2章：人工智慧：概念、驅動因素、主要技術和商業應用
第3章：資料的性質、統計建模和可視化

第二部分：預測分析/機器學習
第4章：資料探勘過程、方法和應用
第5章：預測分析的機器學習技術
第6章：深度學習和認知計算
第7章：文本探勘、情感分析和社交分析

第三部分：規劃分析和大數據
第8章：規劃分析：優化和模擬
第9章：大數據、雲端運算和位置分析：概念和工具

第四部分：機器人、社交網絡、人工智慧和物聯網
第10章：機器人：工業和消費者應用
第11章：群體決策、協作系統和人工智慧支援
第12章：知識系統：專家系統、推薦系統、聊天機器人、虛擬個人助理和機器人顧問
第13章：物聯網作為智能應用平台

第五部分：分析和人工智慧的注意事項
第14章：實施問題：從倫理和隱私到組織和社會影響

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