Fight Fraud with Machine Learning MEAP V09 1st edition by Ashish Ranjan Jha ISBN 1633438228 9781633438224

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Product details: 

ISBN 10: 1633438228 

ISBN 13: 9781633438224

Author: Ashish Ranjan Jha

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 Fight Fraud with Machine Learning you’ll learn how to:

• Detect phishing, card fraud, bots, and more
• Fraud data analysis using Python tools
• Build and evaluate machine learning models
• Vision transformers and graph CNNs

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.

Table of contents: 

PART 1: INTRODUCTION TO FRAUD DETECTION

2 FRAUD DETECTION OVERVIEW
3 RULE-BASED FRAUD DETECTION: A PHISHING EXAMPLE

PART 2: FROM CLASSICAL MACHINE LEARNING TO DEEP LEARNING

4 MACHINE LEARNING FOR FRAUD DETECTION 
5 IMPROVE PHISHING DETECTION WITH MACHINE LEARNING
6 DEEP LEARNING FOR FRAUD DETECTION
7 DETECTING PHISHING WITH LLM 

PART 3: MULTI-MODAL FRAUD DETECTION USING AI

8 DOCUMENT FORGERY DETECTION USING COMPUTER VISION
9 KYC FRAUD DETECTION USING DEEP LEARNING
10 DETECT VOICE FAKING USING TRANSFORMERS 
11 ΑΝΤΙ-ΜONEY LAUNDERING FOR BITCOIN TRANSACTIONS USING GRAPH ATTENTION NETWORK

PART 4: FRAUD DETECTION ON TABULAR DATA USING CLASSICAL MACHINE LEARNING

12 CREDIT CARD FRAUD DETECTION USING LOGISTIC REGRESSION
13 ONLINE TRANSACTIONS FRAUD USING RANDOM FOREST
14 DETECT FAKE INSURANCE CLAIMS USING GRADIENT-BOOSTED TREES 

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Ashish Ranjan Jha,Machine,Learning