In this day-long presentation, you’ll walk through the process of building a complete machine learning pipeline, from ingest and exploration to training, evaluation, deployment, and prediction. Along the way, you’ll learn how to explore and split large datasets correctly using BigQuery and Cloud Datalab. You’ll develop a machine learning model in TensorFlow on a small sample locally; implement the preprocessing operations in Cloud Dataflow so that the same preprocessing can be applied in streaming mode as well; distribute and scale out the training of the model on Cloud ML Engine; deploy the trained model as a microservice; and invoke predictions from a web application.
This event is sponsored by Google Cloud.
Drew Hodun is an ML specialist on the Google Cloud team, where he advises financial, autonomous, and tech customers implementing cutting-edge ML use cases and systems on Google Cloud and in hybrid environments. His work ranges from operationalizing ML to TensorFlow to GPU/TPU perf tuning.
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