What are common anomaly detection techniques?

What are some common techniques used for anomaly detection?

Common techniques for anomaly detection include statistical methods, machine learning algorithms, and clustering.

Can you explain how machine learning is used in anomaly detection?

Sure! Machine learning models, like isolation forests and autoencoders, learn patterns in data to identify outliers.

What is the difference between supervised and unsupervised anomaly detection?

Supervised anomaly detection uses labeled data to train models, while unsupervised methods work with unlabeled data.

Are there specific algorithms you recommend for real-time anomaly detection?

Yes, algorithms like LSTM networks and real-time decision trees are effective for real-time anomaly detection.