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
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.