Speakers: Chanchal Chatterjee, Cloud AI Leader and Elvin Zhu, AI Engineer, Google
Abstract:
We created an open source template in python for the entire ML journey from concept to production. The workshop offers a 2 part hands-on tutorial. Each part will be for 2 hours.
What You'll Learn:
At the end of this tutorial you will have hands-on experience building a model from concept to a final production-ready ML pipeline. The tutorial will be implemented on the Google Cloud Platform with Vertex AI. Models include xgboost and tensorflow models.
Bio:
Chanchal Chatterjee, Ph.D, held several leadership roles in machine learning, deep learning and real-time analytics. He is currently leading Machine Learning and Artificial Intelligence at Google Cloud Platform. Previously, he was the Chief Architect of EMC CTO Office where he led end-to-end deep learning and machine learning solutions for data centers, smart buildings and smart manufacturing for leading customers.
Chanchal received several awards including Outstanding paper award from IEEE Neural Network Council for adaptive learning algorithms recommended by MIT professor Marvin Minsky. He founded two tech startups between 2008-2013 and has 29 granted or pending patents, and over 30 publications. He received M.S. and Ph.D. degrees in Electrical and Computer Engineering from Purdue University.
