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Rp805.000

Buku Business Intelligence Analytics Data Science and AI 5 Edition 9781292459295

Rp805.000
  • Kondisi: Baru
  • Min. Pemesanan: 1 Buah
  • Etalase: Business
Business Intelligence, Analytics, Data Science, and AI, Global Edition 5 Edition
by Ramesh Sharda (Author), Dursun Delen (Author), Efraim Turban (Author)

Product details
Publisher ‏ : ‎ Pearson (2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 736 pages
ISBN ‏ : ‎ 9781292459295

Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager.

The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and “data for good.”

Table of Contents:
An Overview of Business Intelligence, Analytics, Data Science, and AI
Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications
Descriptive Analytics I: Nature of Data, Big Data, and Statistical Modeling
Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization
Predictive Analytics I: Data Mining Process, Methods, and Algorithms
Predictive Analytics II: Text, Web, and Social Media Analytics
Deep Learning and Cognitive Computing
Prescriptive Analytics: Optimization and Simulation
Landscape of Business Analytics Tools
AI-Based Trends in Analytics and Data Science
Ethical, Privacy, and Managerial Considerations in Analytics

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