AIML Week: Improve student outcomes with ML

September 10, 2020
With remote online learning becoming prevalent, new technologies can support new models of teaching and learning. Attend and discover how AI can detect patterns and improve the remote learning experience with a focus on student engagement and success. Solutions covered include tracking student absenteeism to intervene early and prevent dropouts, as well as helping college transfer students identify majors. Customer examples are highlighted from K12 organizations like Chesterfield County Public Schools to higher education institutions like Portland State University. We recommend this webinar for those who are new to machine learning and developers who want to learn more about education use cases.
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AIML Week: Extract insights from unstructured medical data with AI
AIML Week: Extract insights from unstructured medical data with AI

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AIML Week: Modifying ML models when major events occur
AIML Week: Modifying ML models when major events occur

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