Grant: Canada Research Chairs
University of British Columbia
$120,000.00
Machine Learning
EF 2018-19
Résumé
I work in the field of machine learning, which studies using computers to automatically detect patterns in data and to use these patterns to make predictions or help make decisions. Machine learning is one of the key tools we use to make sense of the enormous amounts of data we record. It is used in everyday tasks for e-mail spam filtering, product recommendations, and speech recognition. My research focus is large-scale machine learning, where we think about how to apply huge machine learning models to huge data sets.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
1000230673-2014
Name nom
Schmidt, Mark
Department département
Department of Computer Science
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2014
Award amount
120000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Partie
0
Nb partie
NA
Application title
Machine Learning
Keyword
NSERC
Application summary
I work in the field of machine learning, which studies using computers to automatically detect patterns in data and to use these patterns to make predictions or help make decisions. Machine learning is one of the key tools we use to make sense of the enormous amounts of data we record. It is used in everyday tasks for e-mail spam filtering, product recommendations, and speech recognition. My research focus is large-scale machine learning, where we think about how to apply huge machine learning models to huge data sets.
