Reducing data pre-processing time by 95% using Ray

In ML your model is as good as your data. Often this crucial step is overlooked.
In this video Google Solutions Architect Shobhit and Kavitha walks through a reference solution where they managed to bring down data pre-processing of downloading over 20,000 data points each with multiple image URLs from 8+ hour to just about 20 minutes using Ray workers.
Ray is an open-source unified compute framework that makes it easy to scale AI and Python workloads - from reinforcement learning to deep learning to tuning, and model serving.

[@stanrock8015]

Great video. Will target Ray at next

[@NameSingh-eg5ky]

Can you give the link to notebook to practice

[@stanrock8015]

Please add links you mentioned

[@ContainerBytes]

Coming soon!