Question

What happens in anomaly detection?
a)Find incorrect or corrupt data points
b)Build Machine Learning algorithms
c)Show results to stake-holder
d)None of the above​

Answer 1

What happens in anomaly detection? - ' b)Build Machine Learning algorithms '  is the correct answer.

• 'Anomaly detection' is the 'identification of rare events ', 'items', or 'observations' that are 'suspicious' as a result of they take issue considerably from customary behaviors or patterns.' Anomalies in data' are referred to as customary 'deviations', 'outliers', 'noise', 'novelties', and 'exceptions'.
• 'Anomaly detection algorithms' are terribly helpful for 'fraud detection' or 'sickness detection' case studies wherever the 'distribution of the target' category is very unbalanced. 'Anomaly detection algorithms' are to more improve the 'performance of the model' by removing the 'anomalies' from the coaching sample.

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Answer 2

Answer: a) Find incorrect or corrupt data points

Explanation: Anomaly detection is the process of locating unusual points or patterns in a set of data. Anything that deviates from an established baseline (within a certain, predefined tolerance) is considered an anomaly.