Description
1.Discuss a real world example that the deep learning technique is used and how it can help to solve the problem?
2.Discuss a real world example how cognitive computing technique is used and how it can help to solve the problem?
3.1. What is Fraud Banking? and what are the types of fraud that banking firms are facing today?
2. Why deep learning methods provide better prediction accuracy?
3. Discuss the trade-off between false positive and false negative within the context of predicting fraudulent activities.
4. Describe the different types of neural network software available today.
5. What is GPU and how does it relate to deep neural networks?
6. What is CNN? and how does it process text?
7. What is cognitive computing and how does it differ from other computing paradigms?
8. What is IBM Watson and what is its significance to the word of computing?
4.Using Microsoft Excel, create a visual representation of the following
a.waffle chart
b. bar chart
c.Icon Array
d. Donut Graph
