Machine Learning Workflows at Scale: Challenges and Solutions (Part 2)
Continuing the journey from Part 1, this session will be more hands-on where you will learn to build end-to-end machine learning workflow using Kubeflow (ML toolkit for Kubernetes). You will learn about environment isolation through containers, distributed training, hyper-parameter tuning with multiple optimization strategies, workflow management, and CI/CD pipelines.
Abhishek Kumar is a Senior Manager of Data Science at Publicis Sapient, where he is focused on applying methods in machine learning to opportunities in retail, ecommerce, marketing and operational optimization. He is completed his MIDS degree at the School of Informtion in 2016.