Grant: Canada Research Chairs
The University of British Columbia
$100,000.00
Large-Scale Machine Learning
FY 2023-24
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 has potential applications in a huge variety of areas like ecological modeling, finding chemical structures, economic forecasting, and so on.
Program
Canada Research Chairs
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CRC-2019-00358
Name nom
Schmidt, Mark
Department département
Head Office
Organization id
2
Institution établissement
The University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2019
Award amount
100000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR 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
10000
Research subject group en
The field of research available
Research subject group fr
The field of research available
Research subject en
Le domaine de recherche disponible
Research subject fr
Le domaine de recherche disponible
Field of research list codes
RDF10201
Field of research list names en
Artificial intelligence (AI)
Field of research list names fr
Intelligence artificielle (IA)
Application title
Large-Scale Machine Learning
Keyword
Machine learning
Numerical Optimization
Stochastic Optimization
Probabilistic Graphical Models
Computer Vision
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 has potential applications in a huge variety of areas like ecological modeling, finding chemical structures, economic forecasting, and so on.
