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applications of machine learning for textual transcription; specialist imaging techniques including multi-spectral imaging and micro-CT scanning; the mediation and digitization of social processes; artistic and
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. They also present challenges: New types of data, (e.g., from DNA testing) may increase risk to privacy. For machine learning and artificial intelligence to work properly, data needs to be centralized
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that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property prediction
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. Expertise that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property
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that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property prediction
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) Description: Course Code: KIN8247H: Artificial Intelligence in Sport Analytics Course description: This course provides a hands-on exploration of artificial intelligence (AI) and machine learning (ML) through
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asynchronous) by conducting research in order to determine what materials, resources and innovations should be added, revised, or adapted to meet new learning models and identifying existing evidence-based and
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University of Toronto Faculty of Information Sessional Lecturer Summer Term 2025 - Session Y (May - August) INF2179H – Machine Learning with Applications in Python Course Description: Machine
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that applicants must have earned a PhD degree in Computer Science or a related area, with a clearly demonstrated exceptional record of excellence in research, service, training, and teaching. We seek candidates
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 15 hours ago
to tackle massive data sets in health. The focus will be on advanced statistical tests in machine learning and assemble such tests by accessing and validating publicly available code in the R programming