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Mastering MLflow: Managing the Full Machine Learning Lifecycle

Learn how to manage the machine learning lifecycle with MLOps. Follow a fintech team’s journey to build, deploy, and monitor a fraud detection model, ensuring scalability and GDPR compliance.

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Anomaly Detection in Financial Transactions: Algorithms and Applications

Anomaly detection in financial systems combines layered techniques—rules, statistics, and machine learning—to identify fraud, money laundering, and operational risk across high-volume transaction flows.

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Introduction to MLOps: Managing the Machine Learning Lifecycle

Learn how to manage the machine learning lifecycle with MLOps. Follow a fintech team’s journey to build, deploy, and monitor a fraud detection model, ensuring scalability and GDPR compliance.