Machine Learning with few data
Details
We all are aware of how machine learning has revolutionized our world and has made a variety of complex tasks much easier to perform. In this event, we will talk about how the size of the data set impacts Machine Learning algorithms, how deep learning model performance depends on data size and how to work with smaller data sets to get similar performances.
AGENDA
8.00 - 8.05 Introduction
Michael Nilsson, Applied AI DIH North project manager, Luleå University of Technology
8.05 – 8.15 A real life Machine Learning challenge
Niklas Karvonen, CTO, Substorm
8.15 – 8.45 Machine Learning with few data sets, State-of-the-art & solutions
Marcus Liwicki, Professor of Machine Learning at Luleå University of Technology, and his team
8.45 – 8.55 Q&A session
For those of you who want to discuss more in detail stay, and/or let us know so we can contact you afterwards.
Register to the event:
https://simpleeventsignup.com/event/177729
Machine Learning with few data