Speaker "Chanchal Chatterjee" Details Back
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Name
Chanchal Chatterjee
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Company
NVIDIA
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Designation
Senior Deep Learning Software Leader
Topic
From Concept to Production: Template for the Entire ML Journey
Abstract
From Concept to Production: Template for the Entire ML Journey
We created a 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 4 hours.
Part 1 starts with an example use case. It builds the ML components such as data prep, model hyper train, model train, model deploy and online/batch predict. These components are unit tested in a python notebook.
Part 2 will show how to deploy these components in a Kubeflow pipeline with orchestration for training and prediction. The entire end to end ML pipeline is now ready for deployment.
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. Models can include xgboost, tensorflow and scikit learn models.
Profile
Chanchal Chatterjee, Ph.D, held several leadership roles in machine learning, deep learning and real-time analytics. Chanchal is currently leading Deep Learning software at NVIDIA server platforms. In the past, he led many ML/AI projects at Google Cloud Platforms with Fortune 500 customers in several verticals. Chanchal received an Outstanding paper award from IEEE Neural Network Council for adaptive learning algorithms recommended by MIT professor Marvin Minsky. Chanchal also has a book titled Adaptive Machine Learning Algorithms with Python which has exceeded 15K downloads.
