Computer Science homework help
Assignment 1:
Compare and contrast predictive analytics with prescriptive and descriptive analytics.
Refer to Chapter 1 and 2 in the textbook:
Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6.
Requirement:
****Separate document for each assignment.****
Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.
Add references separately for each assignment question.
Double Spaced and APA 7th Edition Format
No plagiarized content please! Attach a plagiarized report.
Check for spelling and grammar mistakes!
$5 max. Please bid if you agree.
Assignment 2:
Discuss the process that generates the power of AI and discuss the differences between machine learning and deep learning.
Refer to Chapter 1 and 2 in the textbook:
Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6.
Requirement:
****Separate document for each assignment.****
Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.
Add references separately for each assignment question.
Double Spaced and APA 7th Edition Format
No plagiarized content please! Attach a plagiarized report.
Check for spelling and grammar mistakes!
$5 max. Please bid if you agree.
Assignment 3:
Which software-development methodology would be best if an organization needed to develop a software tool for a small group of users in the marketing department? Why? Which implementation methodology should they use? Why?
Requirement:
****Separate document for each assignment.****
Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.
Add references separately for each assignment question.
Double Spaced and APA 7th Edition Format
No plagiarized content please! Attach a plagiarized report.
Check for spelling and grammar mistakes!
$5 max. Please bid if you agree.
Compare and contrast predictive analytics with prescriptive and descriptive analytics.
Refer to Chapter 1 and 2 in the textbook:
Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6.
Requirement:
****Separate document for each assignment.****
Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.
Add references separately for each assignment question.
Double Spaced and APA 7th Edition Format
No plagiarized content please! Attach a plagiarized report.
Check for spelling and grammar mistakes!
$5 max. Please bid if you agree.
Assignment 2:
Discuss the process that generates the power of AI and discuss the differences between machine learning and deep learning.
Refer to Chapter 1 and 2 in the textbook:
Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6.
Requirement:
****Separate document for each assignment.****
Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.
Add references separately for each assignment question.
Double Spaced and APA 7th Edition Format
No plagiarized content please! Attach a plagiarized report.
Check for spelling and grammar mistakes!
$5 max. Please bid if you agree.
Assignment 3:
Which software-development methodology would be best if an organization needed to develop a software tool for a small group of users in the marketing department? Why? Which implementation methodology should they use? Why?
Requirement:
****Separate document for each assignment.****
Minimum 300-350 words. Cover sheet, abstract, graphs, and references does not count.
Add references separately for each assignment question.
Double Spaced and APA 7th Edition Format
No plagiarized content please! Attach a plagiarized report.
Check for spelling and grammar mistakes!
$5 max. Please bid if you agree.
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