In this episode I speak about how important reproducible machine learning pipelines are. When you are collaborating with diverse teams, several tasks will be distributed among different individuals. Everyone will have good reasons to change parts of your pipeline, leading to confusion and definitely a number of options that soon explode. In all those cases, tracking data and code is extremely helpful to build models that are reproducible anytime, anywhere. Listen to the podcast and learn how.
.png)
More
Religion & Spirituality
Education
Arts and Design
Health
Fashion & Beauty
Government & Organizations
Kids & family
Music
News & Politics
Science & Medicine
Society & Culture
Sports & Recreation
TV & Film
Technology
Philosophy
Storytelling
Horror and Paranomal
True Crime
Leisure
Travel
Fiction
Crypto
Marketing
History
Comedy
Arts
Games & Hobbies
Business
Motivation
