Main talk (25 minutes + 5 minutes for Q&A)
Speaker: Amit Kumar dtu.amit@gmail.com@iaktech
Title: Continuous Testing in Machine Learning
Abstract: This talk is an introduction to Continuous Testing in Machine learning, talking about what are the problems currently faced by Data Scientists and Machine learning engineers, while developing and deploying their Machine Learning models and I'll demonstrate how we can achieve Continuous Testing in Machine learning with common CI/CD tools like GitHub Actions.
Recording consent: Yes
Publishing slides consent: Yes
Availability:
Special requirements:
Submitted 17/11/2022 16:30:50 via PyData London - Submit a Talk
Main talk (25 minutes + 5 minutes for Q&A)
Speaker: Amit Kumar dtu.amit@gmail.com@iaktech
Title: Continuous Testing in Machine Learning
Abstract: This talk is an introduction to Continuous Testing in Machine learning, talking about what are the problems currently faced by Data Scientists and Machine learning engineers, while developing and deploying their Machine Learning models and I'll demonstrate how we can achieve Continuous Testing in Machine learning with common CI/CD tools like GitHub Actions.
Recording consent: Yes
Publishing slides consent: Yes
Availability:
Special requirements:
Submitted 17/11/2022 16:30:50 via PyData London - Submit a Talk