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Join Kaz and discover how you can combine Cloud Machine Learning and BigQuery to realize this vision. By sharing a demo, you'll see how BigQuery's power of "democratizing enterprise data" can be enhanced with a deep neural network model trained with Cloud Machine Learning.
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BigQuery and Cloud Machine Learning: advancing large-scale neural network predictions - Intermediate
Kaz Sato is Staff Developer Advocate at Cloud Platform team, Google Inc. He leads the developer advocacy team for Machine Learning and Data Analytics products, such as TensorFlow, Cloud ML, and BigQuery. Invited to major events including Google Cloud Next '17 SF, Google I/O 2016, Hadoop Summit 2016, Strata+Hadoop World 2016 San Jose and NYC, ODSC East/West 2016 and Google Next 2015 NYC. Kaz also has been leading and supporting developer communities for Google Cloud for over 8 years. He is also interested in hardwares and IoT, and has been hosting FPGA meetups since 2013.