Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12
Introduction
00:00 • 2min
Aporia: A Vendor's Perspective on ML
01:50 • 3min
The Trend of Unbundling
04:49 • 2min
The Importance of Observability in DevOps
06:33 • 3min
Why Grafana Is Different From Traditional Monitoring Models
09:21 • 3min
Observability: A Core Part of Modeling
12:46 • 4min
The Future of ML Product Thinking
16:46 • 3min
The Role of the Data Scientist in ML
19:29 • 6min
How to Build a Fraud Detection Model
25:04 • 2min
The Future of ML
26:35 • 3min
The Importance of Observability in ML Product Development
29:17 • 2min
Machine Learning: How Old Will You Change?
31:24 • 2min