Fight Fraud with Machine Learning
portes grátis
Fight Fraud with Machine Learning
Jha, Ashish
Manning Publications
03/2026
387
Dura
Inglês
9781633438224
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
1 WHAT IS FRAUD AND FRAUD DETECTION?
PART 1: LEARNING THE BASICS
2 RULE-BASED FRAUD DETECTION: A PHISHING EXAMPLE
3 FRAUD DETECTION ON TABULAR DATA USING CLASSICAL ML
4 DEEP LEARNING FOR FRAUD DETECTION
PART 2: MULTIMODAL AI FOR SOPHISTICATED FRAUD
5 DETECTING PHISHING WITH LLM
6 DOCUMENT FORGERY DETECTION USING COMPUTER VISION
7 KYC FRAUD DETECTION USING DEEP LEARNING
8 DETECT VOICE FAKING USING TRANSFORMERS
9 ANTI-MONEY LAUNDERING FOR BITCOIN TRANSACTIONS USING GRAPH ATTENTION NETWORK
APPENDIXES
APPENDIX A: FUNDAMENTALS OF CLASSICAL ML FOR FRAUD DETECTION
APPENDIX B: RUNDOWN OF VARIOUS CLASSICAL ML MODELS FOR PHISHING DETECTION
APPENDIX C: DETECT FAKE INSURANCE CLAIMS USING DIFFERENT IMPLEMENTATIONS OF GRADIENT- BOOSTED TREES
PART 1: LEARNING THE BASICS
2 RULE-BASED FRAUD DETECTION: A PHISHING EXAMPLE
3 FRAUD DETECTION ON TABULAR DATA USING CLASSICAL ML
4 DEEP LEARNING FOR FRAUD DETECTION
PART 2: MULTIMODAL AI FOR SOPHISTICATED FRAUD
5 DETECTING PHISHING WITH LLM
6 DOCUMENT FORGERY DETECTION USING COMPUTER VISION
7 KYC FRAUD DETECTION USING DEEP LEARNING
8 DETECT VOICE FAKING USING TRANSFORMERS
9 ANTI-MONEY LAUNDERING FOR BITCOIN TRANSACTIONS USING GRAPH ATTENTION NETWORK
APPENDIXES
APPENDIX A: FUNDAMENTALS OF CLASSICAL ML FOR FRAUD DETECTION
APPENDIX B: RUNDOWN OF VARIOUS CLASSICAL ML MODELS FOR PHISHING DETECTION
APPENDIX C: DETECT FAKE INSURANCE CLAIMS USING DIFFERENT IMPLEMENTATIONS OF GRADIENT- BOOSTED TREES
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
fraud detection; machine learning; financial fraud; corporate fraud; data analysis; Python; phishing detection; credit card fraud; AI tools; deep learning; convolutional neural networks; transformers; voice spoofing; deepfakes; KYC fraud
1 WHAT IS FRAUD AND FRAUD DETECTION?
PART 1: LEARNING THE BASICS
2 RULE-BASED FRAUD DETECTION: A PHISHING EXAMPLE
3 FRAUD DETECTION ON TABULAR DATA USING CLASSICAL ML
4 DEEP LEARNING FOR FRAUD DETECTION
PART 2: MULTIMODAL AI FOR SOPHISTICATED FRAUD
5 DETECTING PHISHING WITH LLM
6 DOCUMENT FORGERY DETECTION USING COMPUTER VISION
7 KYC FRAUD DETECTION USING DEEP LEARNING
8 DETECT VOICE FAKING USING TRANSFORMERS
9 ANTI-MONEY LAUNDERING FOR BITCOIN TRANSACTIONS USING GRAPH ATTENTION NETWORK
APPENDIXES
APPENDIX A: FUNDAMENTALS OF CLASSICAL ML FOR FRAUD DETECTION
APPENDIX B: RUNDOWN OF VARIOUS CLASSICAL ML MODELS FOR PHISHING DETECTION
APPENDIX C: DETECT FAKE INSURANCE CLAIMS USING DIFFERENT IMPLEMENTATIONS OF GRADIENT- BOOSTED TREES
PART 1: LEARNING THE BASICS
2 RULE-BASED FRAUD DETECTION: A PHISHING EXAMPLE
3 FRAUD DETECTION ON TABULAR DATA USING CLASSICAL ML
4 DEEP LEARNING FOR FRAUD DETECTION
PART 2: MULTIMODAL AI FOR SOPHISTICATED FRAUD
5 DETECTING PHISHING WITH LLM
6 DOCUMENT FORGERY DETECTION USING COMPUTER VISION
7 KYC FRAUD DETECTION USING DEEP LEARNING
8 DETECT VOICE FAKING USING TRANSFORMERS
9 ANTI-MONEY LAUNDERING FOR BITCOIN TRANSACTIONS USING GRAPH ATTENTION NETWORK
APPENDIXES
APPENDIX A: FUNDAMENTALS OF CLASSICAL ML FOR FRAUD DETECTION
APPENDIX B: RUNDOWN OF VARIOUS CLASSICAL ML MODELS FOR PHISHING DETECTION
APPENDIX C: DETECT FAKE INSURANCE CLAIMS USING DIFFERENT IMPLEMENTATIONS OF GRADIENT- BOOSTED TREES
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
