Question

Which of the following is a supervised learning problem?
1) Grouping related documents from an unannotated corpus.
2)Predicting credit approval based on historical data
3)Predicting rainfall based on historical data
4)Predicting if a customer is going to return or keep a particular product he/she purchased from e-commerce website based on the historical data about the customer purchases and the particular product.
5)Fingerprint recognition of a particular person used in biometric attendance from the fingerprint data of various other people and that particular person

Answer 1

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• Grouping related documents from an unannotated corpus.

Answer 2

Answer:

One of the problems with supervised learning is predicting rainfall based on historical data.

Explanation:

What is supervised learning?

• Supervised learning, as well known as supervised machine learning, is a machine learning and artificial intelligence subcategory. It is distinguished by the use of labelled datasets to train algorithms that accurately classify data or predict outcomes.

• The term "supervised learning" refers to algorithms that learn from a training dataset and can be viewed as a guide supervising the learning process. The correct answers are already known; the algorithm makes predictions on the training data iteratively and is corrected by the guide.

• Supervised learning is used to train machines so that predictive data models can be developed. They have numerous applications in a variety of domains and industries. Building, scaling, and updating the models necessitates expertise.

To learn more about supervised learning refer to :

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