Assignment 1:
Why are the original/raw data not readily usable by analytics tasks? What are the main data preprocessing steps? List and explain their importance in analytics.
Refer to Chapter 3 in the attached textbook:
Sharda, R., Delen, D., Turban, E. (2020). Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support 11E. ISBN: 978-0-13-519201-6.
Discuss the process that generates the power of AI and discuss the differences between machine learning and deep learning.
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:
What are the privacy issues with data mining? Do you think they are substantiated?
Refer to Chapter 4 in the attached 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.