Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12
Introduction
00:00 • 2min
Test-Driven Data Analysis
02:09 • 3min
How Test Driven Data Analysis Works
05:03 • 2min
How to Test Your Data Analysis Pipeline
06:36 • 3min
The Importance of Data Checking in Machine Learning
09:11 • 3min
How to Use Constraints to Check for Data Quality
11:45 • 2min
The Importance of Interpretation in Machine Learning
13:39 • 2min
Python TDA Library: A Workflow for Continuous Integration
15:49 • 4min
The History of the Python Library
20:04 • 3min
The Importance of Data Governance in Reproducible Research
22:49 • 3min
The Future of TDA
26:19 • 2min
How to Deal With Duplication
28:35 • 3min