All videos
Opera view

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

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…
Read more

Other videos that you might like

fallback image
Data
Improving Sentiment Analysis Code in a DevOps environment
Oindrilla Chatterjee
fallback image
Data
Data Science with OpenShift
Michael Clifford
fallback image
AI
Data
How to build an AI from zero to learn to play and solve a tough game
Juan Tomás García
fallback image
Data
Probabilistic data structures for Kafka Streams
Mateusz Owczarek, Miron Ficak
All videos