Machine Learning (ML) has proven to be quite effective in a variety of application domains, including speech recognition, object recognition, and image retrieval. In each of these areas, ML based "programs" must adapt to changing conditions, handle large data sets often with irregularities, and come up with algorithms with little or incomplete knowledge. Sounds similar to software development? Turns out that ML is being applied to the field of software development including reverse engineering legacy code, software fault detection, and requirement analysis. This session will look at various examples of Azure ML being applied to software development.
You will learn:
- About ML for Developers
- About ML tools in Azure
- How to apply ML to Software Engineering