Adventures in Machine Learning Maximizing Efficiency in ML Project Development - ML 128
Sep 21, 2023
Delving into data science and software dev, they emphasize setting standards in project development and automating review processes. Journey includes prototype building, uncertainties, and quest for efficient reviews. Reflections on agile-waterfall approaches, MVP importance, and ML doc substitution project.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 • 2min
Improving Documentation and Prototyping Machine Learning Models
02:22 • 28min
Efficient Machine Learning Project Development and Balancing Agile-Waterfall Approaches
30:51 • 5min
Emphasizing the Importance of Minimum Viable Product in ML Project Development
35:48 • 3min
Enhancing Doc Substitution with ML
39:17 • 7min
Efficient Project Development Process Reflections
46:15 • 3min