Melinda King walks you 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.
Melinda King is a Google Authorized Trainer at ROI Training, 2017’s Google Cloud Training Partner of the Year. Melinda brings 30+ years of progressive experience with a unique combination of technical, managerial, and organizational skills. She has done solution design, development, and implementation using Google products including Compute Engine, App Engine, Kubernetes, Bigtable, Spanner, BigQuery, Pub/Sub, Dataflow, and Dataproc. Her expertise includes applying data science algorithms on big data to produce insights for optimizing business decisions. Melinda is also a Microsoft Certified Trainer with certifications for Azure, SQL Server, and Data Management and Analytics. Melinda spent 20+ years serving as a member of the US Marine Corps.
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