Data Science, Convolutional Neural Networks, and Machine Learning in the Cloud (Part 3 of 4)

This is Part 3 of a four-part series that breaks up a talk that I gave at the Toronto AI Meetup. Part 1  and Part 2  introduce basic machine learning concepts as well as specific models using TensorFlow respectively. In this video we go 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. 

• [00:15] Data science process 
• [03:25] Convolutions 
• [05:52] Convolutional neural networks
• [07:20] Intro to machine learning on the cloud 

Hope you enjoy Part 3! As always feel free to send any feedback or add any comments below if you have any questions. 

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