From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications
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Education - Amazon Web Services (AWS) Tutorial
From the course: Leveraging Cloud-Based Machine Learning on AWS: Real-World Applications
Education
- [Instructor] So now let's look at an education use case for machine learning. So again we have input, model, and output. In this case the input would be student information, or information about a student and their grades. And so this would obviously have a one to many relationship. One student for many grades that we're tracking. The ability to model student performance, and the output would be failure prevention, the ability to look at ways in which we're going to improve the failure rate of students, drop out rate, flunk out rate, but the ability to proactively select and engage in early intervention with students that are getting off track. So again, we're ingesting data. In this case we're using the type of machine learning which is known as supervised learning, or the ability to, in essence, track information which is tagged with the appropriate conclusions or variables, in this case we know the grades that the…
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