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 Chapter 6– discussion question #1-5 & exercise 4

When 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).

Discussion questions:

1. What is deep learning? What can deep learning do that the traditional machine-learning method cannot? 

2. List and briefly explain different learning paradigms/ methods in AI. 

3. What is representation learning, and how does it relate to machine learning and deep learning? 

4. List and briefly describe the most commonly used ANN  activation functions. 

5. What is MLP, and how does it work? Explain the function  of summation and activation weights in MLP-type ANN 

Exercise 4:

 Cognitive computing has become a popular term to define and characterize the extent of the ability of machines/ computers to show “intelligent” behavior. Thanks to IBM Watson and its success on Jeopardy!, cognitive computing and cognitive analytics are now part of many real-world intelligent systems. In this exercise, identify at least three application cases where cognitive computing was used to solve complex real-world problems. Summarize  your findings in a professionally organized report