Thursday 6th August, 2015
11:10am to 11:40am
Using Google's Cloud Machine Learning Services, users can set up an entire Machine Learning pipeline quickly and with limited or no Machine Learning expertise. It is also possible to build applications on top of the Prediction API that allow for non-technical users to leverage the power of Machine Learning to help solve real world problems.
By using black-box Machine Learning via Google’s Machine Learning Services, it is possible to build an end-to-end Machine Learning pipeline with little to no ML expertise. The service automatically handles complex tasks such as data preprocessing, feature selection, classifier selection, parameter tuning, model evaluation, model hosting, and model updating.
As an example of the type of apps that can be built on top of the Prediction API, SmartAutofill spreadsheets add-on allows for easy, one-click application of Machine Learning directly from a Google spreadsheet.
Software Engineer at Google
Graduated from Stanford University with MS in Computer Science with concentration in Artificial Intelligence. Have been working at Google for 4+ years as a software engineer on the Prediction API and other internal Google Machine Learning products.
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