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MLX: Opinionated ML Pipelines in MLflow // Xiangrui Meng // Coffee Sessions #112

Aug 3, 2022
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Episode notes
1
Introduction
00:00 • 3min
2
Data Bricks - Where Are You Going With This?
03:09 • 1min
3
Data Brics
04:27 • 5min
4
Machine Learning - What's It All About?
09:14 • 3min
5
Machine Learning - How Do You Think About the Changes?
11:53 • 3min
6
The Challenges of Real Time
14:28 • 3min
7
Devops Plus Data S Plus Modelops Equals M Lops
17:33 • 2min
8
Maflo - Is There So Many Flow Products?
19:21 • 5min
9
Data Science
24:50 • 2min
10
Is There a War Story?
27:19 • 4min
11
Is the System Structure Set Up, or Are We Thinking About Building This the Right Way?
30:56 • 1min
12
Racie Is a Kind of Bully Proof Ratie Fo Larski, a Productionus
32:04 • 5min
13
Is It Always a Random Split?
37:19 • 3min
14
The Future of Machine Learning Engineering
40:00 • 2min
15
How Much Do You Need to Enable More Deto?
41:56 • 5min
16
What's the Last Book You Read?
47:21 • 2min