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 images.
In supervised machine learning, we are given labeled data with which we train our model and then our model is tested on a test set. In unsupervised learning, we are given unlabelled data and we have to find patterns or correlations in that data to fit our problem statement.
(a) Disease classification is a supervised learning problem. We will be given patients with different gene expressions. Some of them will have Alzheimer's and some will not. We will train our model on this data and then use it to classify if a new patient has the disease or not.
(b) This is an unsupervised learning problem. We have to cluster together different movies on the basis of the rating given to us. We will have to cluster movies of the same genre together. The k-means clustering algorithm will come into use for this problem.
(c) This is the same as the above problem. It also uses unsupervised learning.
(d) This problem is an example of both supervised and unsupervised learning. We can use labelled data for this problem but the data set has to be quite large so supervised learning is generally not used here.
Deep learning is more popular for the problem of emotion detection.
(e) This is a regression problem so it comes under supervised learning. We need to be given the features of the houses along with the prices they were sold at
(f) This is a classification problem so it also comes under supervised learning.
(g) Segmentation is an unsupervised learning problem. We need to identify in which areas of the brain the tumor is residing in. So we will have to separate out diseased and non-diseased areas.
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Identify whether each of the following applications require a supervised or unsupervised learning. Explain your answer...
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...