From the course: Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications
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Education - Azure Tutorial
From the course: Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications
Education
- [Instructor] Now let's look at education as a use case for machine learning. So we're dealing with inputs, models, and outputs again, and this time, we're dealing with student data and student grades as an input to our knowledge base within our machine learning system. We're looking to model student performance and we're looking to deal with failure prevention and proactive selection and early interventions, so we can maximize the amount of student success within our educational program. So our solution here, leveraging machine learning, is the ability to ingest the proper data. In other words, test scores and grades and student conduct and all this information which is going to be relevant to our machine learning system to figure out if there's a cause and there's effect, and learn from the information that's being placed upon it. This time, we're leveraging supervised learning, in other words, we're tagging the information…
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