What is anomaly detection?Answer areaA supervised learning technique to classify data pointsAn unsupervised learning technique to identify rare events or observationsA regression technique to predict future data pointsA clustering technique to group similar data points

A Machine Learning technique that helps in detecting the outliers in data.(1 Point)ClusteringClassificationAnomaly DetectionAll of the above

What is a primary application of anomaly detection?Answer areaImage recognitionFraud detectionMarket basket analysisSentiment analysis

Which of the following is an application of anomaly detection?Answer areaGrouping similar documentsDetecting credit card fraudClustering customers based on purchase historyPredicting house prices

Question 4Which of the following is NOT an attribute of Unsupervised Learning?1 pointThe algorithm ingests unlabeled data, draws inferences, and finds patterns from unstructured dataIt is useful for clustering data, where data is grouped according to how similar it is to its neighbors and dissimilar to everything elseTakes data and rules as input and uses these inputs to develop an algorithm that will give us an answerIt is useful for finding hidden patterns and or groupings in data and can be used to differentiate normal behavior with outliers such as fraudulent activity

Which of the following machine learning techniques helps in detecting the outliers in data?