Neshap - Study guides, Class notes & Summaries

Test Bank for Business Intelligence, Analytics, Data Science, and AI, 5th edition ( Ramesh Sharda, 2023) Chapters 1-11|Complete Guide A+

Test Bank for Business Intelligence, Analytics, and Data Science: A Managerial Perspective 4th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban, All Chapters |Complete Guide A+

Test Bank For Business Intelligence, Analytics, and Data Science A Managerial Perspective 4th Edition By Ramesh Sharda (All Chapters, 100% original verified, A+ Grade) Test Bank For Business Intelligence, Analytics, and Data Science A Managerial Perspective 4th Edition By Ramesh Sharda (All Chapters, 100% original verified, A+ Grade)

what are the 3 categories of materials that an inspector must look for when conduction a NESHAP building inspection ? - Answer Friable Materials , Category 1 non friable, and Category 2 Non Friable What is a Friable material via NESHAP? - Answer >1% asbestos that can be crumbled into dust by hand pressure.

Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 9 The Landscape of Software Tools and Languages 1) Seagate, mentioned in the opening vignette, designs and manufactures data storage and management solutions. Answer: TRUE Diff: 1 Page Ref: 525 2) With recent advancements in software technologies, the landscape of analytics tools is consolidating and contracting at an unprecedented pace. Answer: FALSE Diff: ...

Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 7 Deep Learning and Cognitive Computing 1) In the opening vignette, banks had begun to use deep learning to provide more accurate prediction of the customer churn. Answer: FALSE Diff: 2 Page Ref: 399 2) Deep learning is a separate branch of computational sciences from AI. Answer: FALSE Diff: 1 Page Ref: 403 3) Structured, human-mediated machine-learnin...

Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 10 New AI-Based Trends in Analytics and Data Science 1) In the opening vignette, Discover Foods chooses linear regression over LSTM because the performance of linear regression was on par with the LSTM type deep learning model. Answer: FALSE Diff: 2 Page Ref: 611 2) As stated in the opening vignette, because food quality and safety can be compromised, extra emp...

Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 2 Artificial Intelligence: Concepts, Drivers, Major Technologies, and Business Applications 1) We like to see computerized decision-making being simpler, easier to use, more intuitive, and less threatening. Answer: TRUE Diff: 1 Page Ref: 95 2) According to CIO Insight magazine, intelligent computer technologies will include self-initiating, creative robots, an...

Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 8 Prescriptive Analytics: Optimization and Simulation 1) Modeling can be viewed as a science in its entirety. Answer: FALSE Diff: 2 Page Ref: 471 2) In the opening vignette, the solution helped to determine how many vendors to award contracts to, as well as the size of each of the contracts. Answer: FALSE Diff: 2 Page Ref: 473 3) If linear programming ...

Business Intelligence, Analytics, Data Science, and AI, 5th Edition by Ramesh Sharda, Dursun Delen, Efraim Turban Chapter 4 Descriptive Analytics II: Business Intelligence Data Warehousing, and Visualization 1) Business intelligence systems rely on a data warehouse as the information source for creating insight and supporting managerial decisions. Answer: TRUE Diff: 1 Page Ref: 219 2) The "islands of data" problem in the 1980s describes the phenomenon of fully integrated data be...