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Fight Fraud with Machine Learning (MEAP) PDF

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by Ashish Ranjan Jha| 58| English

About Fight Fraud with Machine Learning (MEAP)

Financial and corporate fraud happen every day, and the fraudsters inevitably leave a digital trail. Machine Learning techniques, including the latest generation of LLM-driven AI tools, help identify the telltale signals that a crime is taking place. Fight Fraud with Machine Learning teaches you how to apply cutting edge ML to identify fraud, find the fraudsters, and possibly even catch them in the act. In this cutting-edge book you’ll develop scalable and tunable models that can spot and stop fraudulent activity in online transactions, data stores, even in digitized paper records. You’ll use Python to battle common scams like phishing and credit card fraud, along with new and emerging threats like voice spoofing and deepfakes. Examples and exercises help you practice identifying credit card fraud with logistic regression, using decision trees and random forests to identify fraudulent online transactions, and detecting fake insurance claims through gradient boosted trees. You’ll deploy neural networks to tackle Know Your Customer fraud, spot social network bots, catch deepfakes, and more! Plus, you’ll even dive into the latest research papers to discover powerful Deep Learning techniques such as vision transformers. For fraud detection product managers, data scientists, and Machine Learning engineers confident with Python programming.

Detailed Information

Author:Ashish Ranjan Jha
Language:English
File Size:58
Format:PDF
Price:FREE
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