Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14
Introduction
00:00 • 2min
How Did You Get a Taste for Machine Learning?
01:48 • 2min
Is There a Difference Between Overfit and Drift?
03:28 • 2min
Is It Possible to Retrain a Machine Learning Model?
05:22 • 2min
How to Measure a Model's Drift?
07:06 • 2min
Is the Under Liquid Date Distribution Changing?
08:37 • 2min
Is There a Gap in Confidence?
10:21 • 2min
How Do We Know if Something Is a Seven?
12:01 • 2min
Vertica Analytics for Pioneers - Vertica Dot Com Slash Insights
14:28 • 3min
Is the Cost of Retraining a Good Thing?
17:37 • 3min
Is the CPM Scalable?
20:27 • 2min
Is This Really Necessary?
22:24 • 2min
Change Point Modelling
24:35 • 2min
Machine Learning and Data Science in Practical Situations
26:15 • 58sec