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This is Part 3 of a four-part series that breaks up a talk that Seth Juarez gave at the Toronto AI Meetup.

Parts 1 and 2  introduce basic machine learning concepts as well as specific models using TensorFlow respectively.

In this video he goes more in depth into an example of a common data science process, how convolutions work in convolutional neural networks, and finally how this can be done in the cloud using Azure Machine Learning.

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