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. 

For more tips like this, check out the working remotely playlist at www.youtube.com/FoetronAcademy. 

Also, if you need any further assistance then you can raise a support ticket (https://cloud.foetron.com/) and get it addressed.