Sort by
Refine Your Search
-
: Position: Sessional Lecturer I (1 position available) Course title and code: Foundations of Data Analytics and Machine Learning - APS1070 Course description: (1) Python programming (basic structures
-
: Position: Sessional Lecturer I (2 positions available) Course title and code: AI in Finance - APS1052 Course description: In this course we’ll give an overview of several applications of machine learning
-
transformative learning, insights and public engagement, bringing together diverse views and initiatives around a defining purpose: to create value for business and society. We make a fundamental promise – Here’s
-
Date Posted: 04/18/2024 Req ID: 37024 Faculty/Division: Faculty of Applied Science & Engineering Department: Department of Electrical & Computer Engineering Campus: St. George (Downtown Toronto
-
Life connects life to learning. We believe every student should have the opportunity to participate in university life actively and find connection and community while discovering new ways of thinking
-
the best possible online, in-person, and hybrid language learning experiences. Our engaging experiential programming complements the in-class experience by providing opportunities for learners to use
-
of Post-doctoral experience with demonstrated academic and research expertise in the field of distributed systems. Skills – Strong background in distributed systems and machine learning. Ability to work
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 7 days ago
. Must have strong computer skills, including the use of Microsoft Word, Excel, PowerPoint, Adobe creative suite, and email software, as well as an ability to adapt to and learn new technologies. Excellent
-
skills required to perform statistical analyses Applied knowledge of machine learning techniques such as regression, classification, natural language processing. Strong verbal and written communication
-
of three facets of Machine Learning, RL has far broader scope than the narrower tools of supervised and unsupervised learning. RL, being founded on agent design, has the goal of developing artificial