The Gradient: Perspectives on AI Ryan Drapeau: Battling Fraud with ML at Stripe
9 snips
Jul 20, 2023 Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
Introduction
00:00 • 2min
The Path to Machine Learning
02:15 • 3min
The Differences Between Content Moderation and Fraud
05:28 • 3min
The Importance of Radar and Stripe in Dealing With Fraud
08:50 • 2min
The Different Types of Fraud
11:08 • 5min
The Role of Stripe in Fraud
15:50 • 3min
The Importance of Information Asymmetry in the Fraud Industry
19:07 • 4min
Machine Learning and the Fraud Problem
22:42 • 3min
The Evolution of Stripe Radar
25:45 • 6min
The Evolution of the Architecture of a Machine Learning Model
31:40 • 3min
Building a Recurrent Neural Network for Payments
34:26 • 3min
The Importance of Retirable Networks in ML Engineering
37:46 • 4min
The Importance of Explanation in Machine Learning
41:39 • 3min
The Trade-Off Between Model Performance and Explainability
44:15 • 5min
The Importance of Data Locality in Fraud
48:58 • 4min
The Importance of Locality Laws in Federated Learning
52:42 • 3min
The Evolution of Fraud Detection Systems
55:49 • 4min
How to Predict a Fraudulent Payment
59:22 • 2min
The Importance of Getting Comfortable in an Ambitious Space
01:01:44 • 5min