(b) Write down two applications of supervised learning. In the two applications, state the target variables.
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Write down two applications of supervised learning. In the two applications, state the target variables.
Problem 3) Identify whether each of the following applications require a supervised or unsupervised learning. Explain your answer for each. a)Identifying a group of Alzheimer’s disease patients by their gene expression measurements .b)Grouping movies according to the ratings provided by movie viewers .c) Grouping shoppers based on their browsing and purchasing histories .d)Emotion detection .e) Predicting house prices according to their footage and neighborhood. f) Detection of lung cancer using x -ray images. g) Segmentation of brain tumor from CT...
Identify whether each of the following applications require a supervised or unsupervised learning. Explain your answer for each. a) Identifying a group of Alzheimer’s disease patients by their gene expression measurements. b) Grouping movies according to the ratings provided by movie viewers. c) Grouping shoppers based on their browsing and purchasing histories. d) Emotion detection. e) Predicting house prices according to their footage and neighborhood. f) Detection of lung cancer using x-ray images. g) Segmentation of brain tumor from CT...
State in your own words what supervised and unsupervised learning is. Clearly describe a real-world scenario where each classifier would be useful.
(Data Analysis Question) Explain supervised machine learning using some examples of data and at least two, two-dimensional supervised machine learning methods. Describe in writing any figures that you normally would draw.
Logistic regression is what kind of learning algorithm?: a. supervised/classification b. unsupervised/classification supervised/regression d. unsupervised/regression C.
(c) Write an essay with no more than 3 pages to summarise the various supervised learning models and unsupervised learning models you learned by using appropriate mathematical formulation. Based on what you learned from your assignment and the Internet, suggest improvements on this course. Be warned that non-constructive remarks and insults will receive ZERO mark. (6 marks)
5. A latch is shown below: Write down at least two applications with a support diagram, if needed. _b@ܠܡ s T
Analytics: For supervised learning classifiers, define these goodness of fit measures: (a) accuracy and (b) loss function.
For each of the following scenarios, decide if a solution would be best addressed with supervised learning, unsupervised learning or database query. As appropriate, state initial hypotheses you would like to test. If you decide that supervised or unsupervised is the best answer, list several input attributes you believe to be relevant for solving the problem. a. What characteristics differentiate people who have had back surgery and have returned to work form those who have had back surgery and have...
What type of machine learning technique would you use to forecast sales (Y) of aluminum siding for houses using macroeconomic variables as input (i.e., unemployment rates, interest rates, and gross domestic product)? a. Unsupervised learning b. Supervised learning c. Reinforcement learning d. None of these