Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Introduction
00:00 • 2min
Machine Learning: A Crossroads in the Field of Machine Learning
02:17 • 3min
The Rise of Deep Learning in Machine Learning
04:54 • 1min
AMP Lab - Scalability and Machine Learning
06:16 • 3min
Machine Learning - What's the Story Behind the Company?
09:45 • 4min
Is There a Shortage of Machine Learning Engineers?
13:44 • 4min
Hyperband Is Taking Off, Right?
18:11 • 1min
Is Hyperband the Right Tool for Hyper Parameter Optimization?
19:36 • 4min
The Curse of Dimensionality
23:37 • 2min
Neural Architecture Search
25:24 • 4min
The Ethos of Model Development Is Capturing Everything That Goes Into Your Model Definition
29:09 • 2min
Machine Learning and Systems Intersection
30:52 • 2min
Reproducibility Is a Core Tenant in the Systems World
32:59 • 3min
Is Hyperbank an Auto ML Platform?
36:23 • 2min
Auto ML Is More Than Hyperparameter Optimization or Neural Architecture Search
38:34 • 2min
The Future of Machine Learning?
40:48 • 2min
Is It a Question of Better Algorithms?
43:08 • 3min
The Green AI Paper Talks About Efficiency
46:10 • 1min
Optimizing for Fairness or Privacy or Interpretability?
47:40 • 4min
The Future of Machine Learning
52:09 • 3min