Create a slide pack for a Masters in Appplied AI student on the rubric - COncept of ML and Neural Network, explain how the system work, connection to AI development, analysis of capabilities and limitations - use case I have selected or AI system I have selected in Fraud Detection in Banking

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This research examines how machine learning and neural networks support evidence-based decision-making, explaining their architecture, training and inference processes. It applies these concepts to banking fraud detection through transaction features, classification and risk thresholds, illustrated by unusual card activity. The study evaluates performance using accuracy, recall, false positives and confusion matrices, while critically considering reliability and limitations. Drawing on...