RSVP: September 19th Workshop on "TensorFlow for Serverless Machine Learning with Google Cloud"
This event is organized by CounterFactual.AI LLC and is hosted by the University of Central Florida Research Park Incubator.

The event is a full day, hands-on workshop, led by your instructor, Carl Osipov, who walks you through building a complete machine learning pipeline from ingest, exploration, training, and evaluation to deployment and prediction. This workshop will be conducted on the Google Cloud Platform (GCP) and will use GCP’s infrastructure to run TensorFlow. The topics include: 1) Data pipelines and data processing: How to explore and split large datasets correctly using SQL and Python Pandas on BigQuery 2) Model building: How to develop a wide-and-deep machine learning model in TensorFlow on a small sample locally (using Apache Beam for preprocessing operations so that the same preprocessing can be applied in streaming mode as well and Cloud Dataflow and Cloud ML Engine for preprocessing and training of the model 3) Model inference and deployment: How to deploy the trained model as a REST microservice with predictions invoked from a web application

The workshop is scheduled for Thursday, September 19th, from 8:30am-12:30pm and 1:30-5:30pm. Lunch will be provided from 12:30-1:30pm. Coffee and tea will be served during breakfast & afternoon.
Skills: You must have beginner level experience with Python and SQL development and be comfortable with commonly used Linux/UNIX shell commands. Prior machine learning experience is helpful but is not required for this workshop.

Materials you will need in advance: All you will need is a reasonably powerful laptop running an up-to-date browser (preferably Google Chrome). Make sure that the laptop is well charged in advance just in case access to power outlets is limited! The workshop will be conducted on Google Cloud Platform (GCP) and will use GCP's infrastructure to run TensorFlow.

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