{"product_id":"applied-fraud-detection-with-python-analytics-anomaly-detection-and-aml-systems-at-scale-9798241998897","title":"Applied Fraud Detection with Python: Analytics, Anomaly Detection, and AML Systems at Scale","description":"\u003cp\u003e • Author(s): Alice Schwartz | Takehiro Kanegi\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Languages - Python\u003c\/p\u003e\u003cp\u003e\u003cb\u003eReactive Publishing\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eApplied Fraud Detection with Python\u003c\/b\u003e is a practical, systems-level guide to building modern fraud, anomaly detection, and AML infrastructure at scale.\u003c\/p\u003e\u003cp\u003eDesigned for analysts, data scientists, engineers, and financial professionals, this book goes beyond toy examples to focus on real operational constraints: noisy data, evolving fraud patterns, regulatory pressure, and the need for explainable, auditable models. You'll learn how Python is used in production environments to detect suspicious behavior across transactions, users, networks, and time.\u003c\/p\u003e\u003cp\u003eThe book covers the full fraud detection lifecycle, from data ingestion and feature engineering to statistical baselines, machine learning models, and real-time monitoring systems. Emphasis is placed on anomaly detection techniques, behavioral modeling, graph-based fraud analysis, and scalable pipelines suitable for banks, fintech platforms, payment processors, and compliance teams.\u003c\/p\u003e\u003cp\u003eRather than treating fraud detection as a single model problem, this book frames it as an adaptive system, one that must balance precision, recall, latency, and regulatory transparency. Python's ecosystem is used throughout to connect analytics, modeling, and deployment into cohesive AML and risk platforms.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat you'll learn: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eDesigning fraud and AML systems as end-to-end pipelines\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eStatistical and machine learning approaches to anomaly detection\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eFeature engineering for transactional and behavioral data\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDetecting fraud using time-series and network analysis\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuilding scalable, auditable fraud detection architectures\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eManaging false positives, drift, and model decay in production\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eIntegrating fraud analytics into compliance and risk workflows\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eWho this book is for: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eFraud and AML analysts\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eData scientists and machine learning engineers\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eFinancial engineers and risk professionals\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDevelopers building transaction monitoring systems\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eAnyone designing large-scale trust, risk, or compliance platforms\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis book is not about quick wins or black-box models. It is about building durable fraud detection systems that survive scale, scrutiny, and adversarial pressure, using Python as the connective tissue between analytics, automation, and real-world financial operations.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":46860515672215,"sku":"9798241998897","price":3231.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798241998897.webp?v=1769956500","url":"https:\/\/atlanticbooks.com\/products\/applied-fraud-detection-with-python-analytics-anomaly-detection-and-aml-systems-at-scale-9798241998897","provider":"Atlantic Books","version":"1.0","type":"link"}