When a bank has an input file of FICO scores and uses machine learning to help predict credit losses for each customer,they are likely using which type of learning?
A)Reinforcement Learning.
B)Unsupervised Learning.
C)Supervised Learning.
D)Matrix Learning.

Question

Quizplus · Accepted Answer

Supervised learning involves using labeled data to train a model and make predictions about similar data in the future. In this case, the input file of FICO scores provides labeled data for each customer, allowing the bank to train a model to predict credit losses. Reinforcement learning involves learning through trial and error, while unsupervised learning involves finding patterns in unlabeled data. Matrix learning is not a recognized type of machine learning.

When a Bank Has an Input File of FICO Scores