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knowledge; technological support for decision making (including predictive analytics, machine learning and artificial intelligence); the main types of information systems in health care and their design; and
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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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the role that libraries, librarians, books, and the publishing industry have played during and in the aftermath of regional and global political and military conflicts. Through a specific investigation of
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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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. 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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) 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 | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 18 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