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Discover resilient machine learning strategies that tackle anomalies, outliers, and real-world data noise. Equip yourself with the tools to build models that stand strong under uncertainty.
This book explores cutting-edge techniques for anomaly detection, robust statistics, and fault-tolerant learning, offering practitioners reliable solutions for real-world data science challenges.
Discover resilient machine learning strategies that tackle anomalies, outliers, and real-world data noise. Equip yourself with the tools to build models that stand strong under uncertainty.
This book explores cutting-edge techniques for anomaly detection, robust statistics, and fault-tolerant learning, offering practitioners reliable solutions for real-world data science challenges.
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