Management Information Systems: Managing The Digital Firm (16th Edition)
16th Edition
ISBN: 9780135191798
Author: Kenneth C. Laudon, Jane P. Laudon
Publisher: PEARSON
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Chapter 11, Problem 15CSQ
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Ethical and social issues raised by self-driving car technologies:
There are several ethical and social issues that are related to self-driving car technology as follows:
- The most important is the possibility of a failure or accident. The incorrect identification of driving conditions can affect the passenger safety as well as the street users like pedestrians, cyclists, and other cars.
- Convincing of users that autonomous cars and their
artificial intelligence are trustworthy. And their safety is as similar or better than human errors. An Uber self-driving car on road test, got into an accident and resulted in death of a woman. - Adaptability of self-driving cars to changing weather conditions, road barriers, and so on...
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(Short-answer) b. Continue from the previous question. Suppose part of the data you extracted from the data warehouse is the following. Identify the missing values you think exist in the dataset. Use Column letter and Row number to refer to each missing value in the dataset. Please write down how you want to address each particular missing value (you can group them if they receive same treatment). For imputation, you do not need to calculate the exact imputed values but just describe what kind of value you want to use to impute.
Please original work
Locate data warehousing solutions offered by IBM, Oracle, Microsoft, and Amazon
Compare and contrast the capabilities of each solution and provide several names of some organizations that utilize each of these solutions.
Please cite in text references and add weblinks
Need Help: Which of the following statements about confusion matrix is wrong
A) Confusion matrix is a performance measure for probability prediction techniques
B) Confusion matrix is derived based on classification rules with cut-off value 0.5
C) Confusion matrix is derived based on training partition to measure a model’s predictive performance
D) None of the above
Chapter 11 Solutions
Management Information Systems: Managing The Digital Firm (16th Edition)
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