Enjoyed this content? 106

Reproducible Machine Learning

October 7, 2019

Reproducibility is a cornerstone of scientific methods. Especially in production Machine Learning it's crucial to ensure that hidden source of randomness is not a real reason for a model performance improvement. In my talk I will elaborate on importance of reproducibility and show how we build reproducible machine learning pipelines at Netguru.

Tags

Data Machine Learning

About the speaker

Matthew Opala

Machine Learning Tech Lead at Netguru

Matthew is an entrepreneur, software engineer and machine learning practitioner. He's been working as a machine learning engineer since graduation from AGH University of Science…

Other videos that you might like

How to build an AI from zero to learn to play and solve a tough game

Juan Tomás García

pandas-stubs — How we enhanced pandas with type annotations

Joanna Sendorek, Zbyszek Królikowski

Big and smart data in the development of autonomous vehicles

Grzegorz Wyszyński

Implementing Machine Learning Algorithms for Scale-Out Parallelism