Quick overview of ML & deep learning foundations for fraud-detection: classical models, DL, TF/PyTorch, and deployment patterns.
machine-learning deep-learning pytorch model-calibration class-imbalance inference-server fraud-detection tabular-deep-learning xgboost-ensembles
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Updated
May 17, 2026 - Jupyter Notebook