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This week Dan and Ray talk through a real educational problem and how we can solve for this using Artificial Intelligence. We look at the problem itself and unpick the outcomes, and then discuss the data that institutions would already have, and more importantly don’t have, to use AI and predictive analytics to solve the problem.
At the end we discuss ways that you can move from theory to practice to give it a go, and Ray talks about how he's used Azure's Auto ML (https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-automated-ml) to build his own experiments, and they both talk about what they've learned from the Microsoft AI Business School (http://aka.ms/aibs)
By Dan Bowen and Ray Fleming3.3
77 ratings
This week Dan and Ray talk through a real educational problem and how we can solve for this using Artificial Intelligence. We look at the problem itself and unpick the outcomes, and then discuss the data that institutions would already have, and more importantly don’t have, to use AI and predictive analytics to solve the problem.
At the end we discuss ways that you can move from theory to practice to give it a go, and Ray talks about how he's used Azure's Auto ML (https://docs.microsoft.com/en-us/azure/machine-learning/service/concept-automated-ml) to build his own experiments, and they both talk about what they've learned from the Microsoft AI Business School (http://aka.ms/aibs)

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