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Assuming that data mining techniques are to be used in the following cases, identify whether the task required is supervised or unsupervised learning.

a. Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers).
b. In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions.
c. Identifying a network data packet as dangerous (virus, hacker attack) based on comparison to other packets whose threat status is known.
d .Identifying segments of similar customer

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anthougo

Answer:

Supervised and Unsupervised Learning:

a. Unsupervised learning

b. Supervised learning

3. Supervised learning

4. Unsupervised learning

Explanation:

The key difference between supervised machine learning and unsupervised machine learning is that with supervised machine learning there is a training dataset (labeled data) on which the algorithm is trained to predict patterns.  With unsupervised machine learning on the other hand, there is no training data.  So, the algorithm discovers patterns on itself without reference to another labeled data or training dataset.

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