State in your own words what supervised and unsupervised learning is.
Clearly describe a real-world scenario where each classifier would be useful.
We come across the words supervised learning and unsupervised
learning in data mining.
Supervised learning :
Supervised learning simply means getting correct output from the given data based on already predefined data (trained data).
color : red
Shape :sphere with depression at the top.
Banana has physical features like
color : yellow
shape : cylindrical shape with some curve.
Unsupervised learning :
Unlike supervised learning we don't have any trained data and we should design our algorithm of unsupervised learning in such a way that it itself classify or group the given data based on the similarities.
Some differences between supervised and unsupervised learning :
State in your own words what supervised and unsupervised learning is. Clearly describe a real-world scenario...
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...
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...
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