The great thing about machine learning nowadays is that you do not have to be an expert in the field to start integrating machine learning into your projects. This talk will give a high-level overview of Google Machine Learning APIs, including Google Cloud ML APIs and Tensorflow. There will be demos and examples of what these APIs are actually capable of creating. Resources for people interested in Machine Learning will also be given. Many of these APIs and resources are very easy to use and will make adding machine learning to your projects relatively quick and easy. We will also discuss on a high-level what machine learning is and concepts like classifiers, training data, and testing data. 

Food will be provided by Arbormoon Software at 6:30, with the presentation starting at 7:00.

About Speaker

Harry Wang is currently working as a Software Engineering intern for Arbormoon Software this summer. He is a rising sophomore pursuing a degree in Computer Science at the University of Michigan College of Engineering. Harry is apart of the GEMS Lab at U of M, a research group interested in applied machine learning and graph mining. Currently, he is working on a study of graph partitioning/clustering methods.