Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
Introduction
00:00 β’ 4min
DAGS Hub - You're Working on a Wrong Question
04:02 β’ 3min
How to Get Started in MLOps?
06:37 β’ 2min
How Do I Know if I'm Relevant for MLOps?
08:39 β’ 5min
Is There Still a Concept of Reasonable Scale in Unstructured Data?
13:13 β’ 2min
Is There a One Side With All?
15:19 β’ 2min
Is Iteration Speed Undervalued?
17:47 β’ 5min
Do You Have an Active Learning Loop?
22:33 β’ 2min
Using Metafluid Dataset in AWS
24:51 β’ 3min
Metafluid - What Are the Best Facts?
28:16 β’ 4min
Do You Have a Product Management Plan?
32:45 β’ 6min
Kubei
38:30 β’ 4min
Is Covio Hitting the Walls?
42:55 β’ 3min
Is It a Drag and Drop, or a Platform?
46:17 β’ 4min
Application Research
50:18 β’ 5min
What's the Trade-Off Between Product and Engineering?
54:58 β’ 2min
What's the Most Exciting Topic in Machine Learning Right Now?
56:33 β’ 4min
MLOps Fatigue and ML Fatigue All in One
01:00:04 β’ 5min
How to Solve MLOps Problems for First Principles
01:04:57 β’ 5min
Is ML the New Electricity?
01:09:51 β’ 2min
Do You Have Skin in the Game?
01:11:59 β’ 6min
Is There a Future in Deep Learning?
01:17:38 β’ 2min
The Three Body Problem - A Science Fiction Book for Rationalists
01:19:10 β’ 2min


