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55:07
AI, ML & Data Engineering Follow 1068 Followers

ML Data Pipelines for Real-Time Fraud Prevention @PayPal

Posted by Mikhail Kourjanski  on  Aug 22, 2018 Posted by Mikhail Kourjanski Follow 1 Followers  on  Aug 22, 2018

Mikhail Kourjanski focuses on the architectural approach towards PayPal’s real-time service platform that leverages ML models, delivers performance and quality of decisions.

48:55
AI, ML & Data Engineering Follow 1068 Followers

Real-Time Data Analysis and ML for Fraud Prevention

Posted by Mikhail Kourjanski  on  May 31, 2018 Posted by Mikhail Kourjanski Follow 1 Followers  on  May 31, 2018

Mikhail Kourjanski addresses the architectural approach towards the PayPal internally built real-time service platform, which delivers performance and quality of decisions.

49:58
AI, ML & Data Engineering Follow 1068 Followers

Data Pipelines for Real-Time Fraud Prevention at Scale

Posted by Mikhail Kourjanski  on  May 23, 2018 Posted by Mikhail Kourjanski Follow 1 Followers  on  May 23, 2018

Mikhail Kourjanski discusses the architecture of PayPal’s data service which combines a Big Data approach with providing data in real time for decision making in fraud detection.

33:49
AI, ML & Data Engineering Follow 1068 Followers

Counterfactual Evaluation of Machine Learning Models

Posted by Michael Manapat  on  May 10, 2018 Posted by Michael Manapat Follow 2 Followers  on  May 10, 2018

Michael Manapat discusses how Stripe evaluates and trains their machine learning models to fight fraud.

33:22
AI, ML & Data Engineering Follow 1068 Followers

AI in Finance: from Hype to Marketing and Cybersec Applications

Posted by Natalino Busa  on  Nov 16, 2017 Posted by Natalino Busa Follow 0 Followers  on  Nov 16, 2017

Natalino Busa illustrates a number of use cases of using AI and machine learning techniques in finance, such as transaction fraud prevention and credit authorization.

40:42
AI, ML & Data Engineering Follow 1068 Followers

Fighting Online Fraud and Abuse with Large-Scale Machine Learning at Sift Science

Posted by Jacob Burnim  on  Nov 06, 2017 Posted by Jacob Burnim Follow 0 Followers  on  Nov 06, 2017

Jacob Burnim discusses Sift’s approach to building a ML system to detect fraud and abuse, including training models, handling imbalanced classes, sharing learning, measuring performance, etc..

39:13
AI, ML & Data Engineering Follow 1068 Followers

Solving Payment Fraud and User Security with ML

Posted by Soups Ranjan  on  Oct 05, 2017 Posted by Soups Ranjan Follow 0 Followers  on  Oct 05, 2017

Soups Ranjan talks about Coinbase’s risk program that relies on machine learning (supervised and unsupervised), rules-based systems as well as highly-skilled human fraud fighters.

38:50
AI, ML & Data Engineering Follow 1068 Followers

Large Scale Machine Learning for Payment Fraud Prevention

Posted by Venkatesh Ramanathan  on  Aug 05, 2017 Posted by Venkatesh Ramanathan Follow 0 Followers  on  Aug 05, 2017

Venkatesh Ramanathan presents how advanced machine learning algorithms such as Deep Learning and Gradient Boosting are applied at PayPal for fraud prevention.

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