Crack ML Interviews with Confidence: Anomaly Detection (20 Q&A)
Last Updated on April 2, 2026 by Editorial Team
Author(s): Shahidullah Kawsar
Originally published on Towards AI.
Data Scientist & Machine Learning Interview Preparation
Different types of anomaly detection techniques:
This article discusses various anomaly detection techniques relevant for data scientists and machine learning practitioners, outlining methods such as point, contextual, and collective anomaly detection, among others. It covers both supervised and unsupervised approaches and provides insights on how to effectively handle different types of data anomalies, including challenges like class imbalance in cybersecurity. The article is structured as a quiz with practical scenarios to test readers’ knowledge and understanding of these techniques, making it a comprehensive guide for interview preparation.
Read the full blog for free on Medium.
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