Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12
Introduction
00:00 • 2min
How to Write a Book on Machine Learning
01:50 • 2min
What Made You Partner With Alice on This Machine Learning Book?
03:58 • 3min
The Best Features Depend on the Model That You're Using
06:56 • 2min
The Feature Engineering Part of the Book
08:56 • 2min
What Does Drop Out Mean?
11:01 • 2min
How to Optimize a Cloud Preference of Choice
13:24 • 3min
Is That the Right Thing?
16:09 • 2min
Feature Transformation
18:06 • 5min
Is There a Future Store?
23:30 • 2min
Is There a Good Documentation for Machine Learning and Data Science?
25:26 • 4min
Documentation, Processes, Continuous Monitoring
29:17 • 2min