Deep learning is an emerging field of research, which has applications across multiple fields. We will show how the transfer learning and fine tuning strategy leads to re-usability of the same Deep Convolution Neural Network (DCNN) model in different domains. Attendees will learn about basic deep neural networks, and how to use DNNs in Azure.
When you have limited resources and big data to crunch in real time, it makes sense to use the cloud. A less obvious scenario is to have data that isn’t very big and the need isn’t for instantaneous feedback—but the only way to get the crunching done in a timely and financially responsible way is to tap the cloud.
If you're just getting started, read David Chappell's Introduction for Technical Professionals
Another great resource is Roger Barga's book, Predictive Analytics with Microsoft Azure Machine Learning . Read an interview with the author .Blog: Data Science 101
Explore resources for learning data science with Ryan Swanstrom
Helping you navigate the world of the Cortana Intelligence Suite
Buck Woody's non-traditional route to learn data science
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