Personal Information
Entreprise/Lieu de travail
Stockholm County, Sweden Sweden
Profession
Machine Learning Researcher at SICS Swedish ICT
Secteur d’activité
Technology / Software / Internet
Site Web
http://tvas.me
À propos
Theodoros Vasiloudis is a Machine Learning researcher at the Swedish Institute for Computer Science in Stockholm. His main interests include large-scale machine learning, graph processing, and natural language processing.
He completed his Master's Degree in Machine Learning at the Royal Institute of Technology, KTH. His thesis work was performed at Spotify AB, under the supervision of Hedvig Kjellström, KTH and Boxun Zhang, Spotify. His work centered on context-aware recommendation systems, and investigating how do contextual variables such as time affect user choice.
He is a graduate of Aristotle University of Thessaloniki, school of Computer Science. During his studies he followed the...
Mots-clés
machine learning
big data
flink
apache
graphs
recommendation
systems
research
Tout plus
Présentations
(5)Personal Information
Entreprise/Lieu de travail
Stockholm County, Sweden Sweden
Profession
Machine Learning Researcher at SICS Swedish ICT
Secteur d’activité
Technology / Software / Internet
Site Web
http://tvas.me
À propos
Theodoros Vasiloudis is a Machine Learning researcher at the Swedish Institute for Computer Science in Stockholm. His main interests include large-scale machine learning, graph processing, and natural language processing.
He completed his Master's Degree in Machine Learning at the Royal Institute of Technology, KTH. His thesis work was performed at Spotify AB, under the supervision of Hedvig Kjellström, KTH and Boxun Zhang, Spotify. His work centered on context-aware recommendation systems, and investigating how do contextual variables such as time affect user choice.
He is a graduate of Aristotle University of Thessaloniki, school of Computer Science. During his studies he followed the...
Mots-clés
machine learning
big data
flink
apache
graphs
recommendation
systems
research
Tout plus