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How to Build a Fully Autonomous Card Fraud Detection System

Big Data LDN 2019 | How to Build a Fully Autonomous Card Fraud Detection System in under a Year | Dmitri Lihhatsov

Intermediate
30m
(1)

Created by Big Data LDN

Last Updated Jun 07, 2021

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  • Course

How to Build a Fully Autonomous Card Fraud Detection System

Big Data LDN 2019 | How to Build a Fully Autonomous Card Fraud Detection System in under a Year | Dmitri Lihhatsov

Intermediate
30m
(1)

Created by Big Data LDN

Last Updated Jun 07, 2021

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What you'll learn

In 2016, inspired by the opportunities that AI would open up, Dmitri Lihhatsov started studying this branch of Computer Science and eventually joined Revolut, a global FinTech startup, to fight fraud using the newly acquired knowledge. In just under 1 year, Dmitri built Sherlock, a machine-learning-based fraud detective that continuously monitors the transactions of over 8 million Revolut users and protects them from having their money stolen by fraudsters

How to Build a Fully Autonomous Card Fraud Detection System
Intermediate
30m
(1)
Table of contents

About the author
Big Data LDN - Pluralsight course - How to Build a Fully Autonomous Card Fraud Detection System
Big Data LDN
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Big Data LDN is the UK’s largest data and analytics conference and exhibition.

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