19 machine-learning "https:" "https:" "https:" uni jobs at University of Toronto in canada
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programming. Topics include computer instruction execution, instruction-level parallelism, memory system performance, task and data parallelism, parallel models (shared memory, message passing), synchronization
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 4 hours ago
: Course Number and Title: STA380H5S LEC101 Computational Statistics Course Description: Computational methods play a central role in modern statistics and machine learning. This course aims to give an
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approaches such as empirical methods, machine learning, and artificial intelligence. Candidates must provide evidence of research excellence which can be demonstrated by a record of sustained high-impact
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delivery systems using operations research methods, including their integration with complementary approaches such as empirical methods, machine learning, and artificial intelligence. Candidates must provide
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, community outreach, and spaces for study and social interaction, New College fosters a rich learning environment in which students can broaden their perspectives, build connections across fields, and prepare
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and Title: MMF1922H1F: Data Science (Section LEC 0101) Course Description: Over the past decade, data science and machine learning have gained immense popularity in many scientific disciplines
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and Title: MMF2030H1F: Machine Learning (Section LEC 0101) Course Description: The course will cover machine learning from both a theoretical and practical point of view, with a focus on pragmatic
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 2 months ago
Minimum Qualifications Doctorate or advanced degree in biostatistics or similar quantitative field, experience with machine learning, fluency in R statistical language Preferred Qualifications Same as
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Emergency Sessional Lecturer - HIS311H1S Canada in the World Course Description: Ranging from the fifteenth through to the turn of the twenty-first century, students will learn about the treaties
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specific focus on financial markets and systems. Students will engage with predictive modeling, machine learning algorithms, and statistical analysis tailored for environments where data is continuously