【UIQ】Analytics, Data Science, & Artificial Intelligence: Systems fo

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[商品主貨號] U102836859

[ISBN-13碼] 9781292341552

[ISBN] 1292341556

[作者] Ramesh Sharda, Dursun Delen, Efraim Turban

[出版社] 華泰文化

[出版日期] 2021/01

[裝訂/規格] 平裝 / 831頁 / 20.4 x 25.5 x 2.5 cm / 普通級 / 全彩印刷 / 11版

[目錄]
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)

[內容簡介] (出版商制式文字, 不論標題或內容簡介是否有標示, 請都以『沒有附件、沒有贈品』為參考。)

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.

作者簡介

Ramesh Sharda

任職：Oklahoma State University

Dursun Delen

任職：Oklahoma State University

Efraim Turban

現職：University of Hawaii)

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