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Simple Machine Learning for the Masses

A session at PAPIs '15

Thursday 6th August, 2015

11:10am to 11:40am (EST)

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.

About the speaker

This person is speaking at this event.
Konstantin Davydov

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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PAPIs '15

Australia Australia, Sydney

6th7th August 2015

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When

Time 11:10am11:40am EST

Date Thu 6th August 2015

Short URL

lanyrd.com/sdqbwf

Official event site

www.papis.io/2015

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