Discuss the process that generates the power of AI and discuss the differences between machine learning and deep learning
Assignment 1:Complete the following assignment 1 in one MS word document:Chapter 1 discussion question #1 & exercise 15 (limit to one page of analysis for question 15)[ Discussion question – Survey the literature from the past six months to find one application each for DSS, BI, and analytics. Summarize the applications on one page, and submit it with the exact sources.] – 1 page[Exercise 15 – Find information about IBM Watsons activities in the healthcare field. Write a 1 page report. ] – 1 pageChapter 2 discussion question #1 & exercises 4, 5, and 15 (limit to one page of analysis for question 15)[ Discussion question 1 – Discuss the difficulties in measuring the intelligence of machines. ] – 1 page[ Exercise 4 – Describe the difference between machine vision and computer vision. ] – .5 page[ Exercise – 5 – How can a vacuum cleaner be as intelligent as a six year- old child? ] – .5 page[ Exercise – 15 – Distinguish between dumb robots and intelligent ones. ] – 1 pageWhen submitting work, be sure to include an APA cover page and include at least two APA formatted references (and APA in-text citations) to support the work this week.All work must be original (not copied from any source).=====================================================Assignment 2 – Discussion 1Discussion 1 (Chapter 1): Compare and contrast predictive analytics with prescriptive and descriptive analytics. Use examples.Note: The first post should be made by Wednesday 11:59 p.m., EST. Your response should be 250-300 words. Respond to two postings provided by your classmates. [ My initial post – 250 to 300 words or 1 page ] [ Student response 1 – 1 paragraph / .5 page ] Student response 2 – 1 paragraph / .5 page ] to use in-text citations.=====================================================Assignment 3 – Discussion 2Discussion 2 (Chapter 2): Discuss the process that generates the power of AI and discuss the differences between machine learning and deep learning.Note: The first post should be made by
