MACHINE LEARNING
SUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Unsupervised Learning:Clustering
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Supervised Learning:Classification
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Reinforcement Learning
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Unsupervised Learning:Regression
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Detailed explanation-1: -Fraud detection, image classification are applications in Machine learning. Explanation: Machine learning is always useful for solving any real world problem.
Detailed explanation-2: -Fraud Detection Using Machine Learning deploys a machine learning (ML) model and an example dataset of credit card transactions to train the model to recognize fraud patterns. The model is self-learning which enables it to adapt to new, unknown fraud patterns.
Detailed explanation-3: -Typically, imbalanced classification tasks are binary classification tasks where the majority of examples in the training dataset belong to the normal class and a minority of examples belong to the abnormal class. Examples include: Fraud detection.