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
The reasons we do not do Machine Learning any more.
Michał Jakóbczyk
fallback image
Data
Stream processing in telco – case study based on Apache Flink & TouK Nussknacker
Maciek Próchniak
fallback image
AI
Data
AI, Big Data and the new social order
Jacek Leśkow
fallback image
Data
Reactive systems
Fast Data Architecture at XITE
Roman Ivanov
All videos