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Saturday, June 2 2018
9:00am - 5:00pm

End-to-End Machine Learning with TensorFlow on GCP

In this hands-on bootcamp, you will walk through the process of building a complete machine learning pipeline covering ingest, exploration, training, evaluation, deployment, and prediction. Along the way, we will discuss how to explore and split large data sets correctly using BigQuery and Cloud Datalab. The machine learning model in TensorFlow will be developed on a small sample locally. The preprocessing operations will be implemented in Cloud Dataflow, so that the same preprocessing can be applied in streaming mode as well. The training of the model will then be distributed and scaled out on Cloud ML Engine. The trained model will be deployed as a microservice and predictions invoked from a web application. What you need:Come with a laptop with an up-to-date web browser. We will supply a temporary GCP project that you can use to do the bootcamp. Prerequisites:Basic SQL, familiarity with Python and TensorFlow or equivalent knowledge as in this course on Coursera: Serverless Machine Learning with TensorFlow on GCP - www.coursera.org/learn/serverless-machine-learning-gcp. This is a full-day, advanced hands-on workshop (70% labs, 30% lecture), not a intro beginner session. If you don't meet the pre-requisite, you may find it difficult to do the labs in the workshop. Please note that this meetup happens in the main Google building. This means we need to provide building security with first/last names of attendees. If you RSVP for this event with an incomplete name or alias, you will be moved to the waitlist until that is corrected.


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