HW2

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.