Reference no: EM133950105

Assignment:

1. Someone gives you data from Eurotax-Switzerland, from an online brokerage system for motor vehicles. For certain motorbikes you are supposed to make a price model depending on age and mileage. What kind of machine learning problem is this?

2. A data set of customers is to be processed for marketing. You know from the data who has sold what in the last few years. Recommend a method to predict high sales in certain areas.

3. Data you want to analyse or use for data mining is on a database system and on an Excel spreadsheet. Describe a possible path that the data could take to machine learning tools and what intermediate steps might be necessary for this.

4. Since September, there has been an increase in cases of Legionella in the city of Ulm. This much can be said about this: Suspicious are air-conditioning systems on house roofs. Describe a graphical method of narrowing down the source to find you.

5. Someone claims that a regression model that predicts the given example data as well as possible will also predict best for future data from the same source. What is your answer?

6. Do the neural network exercise.

7. Why is the human brain still superior to machine learning?

8. Why were multilayer neural networks invented?

9. What are the limitations of deep learning in image processing?