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What this episode covers

Our guests have done most of their ML work on AWS offerings, from AWS Personalize for their initial recommendation engine to SageMaker for model training and deployment pipeline. Now they’re building models from scratch in TensorFlow. Want to see these recommendations in action? Check out the offerings at Discovery+ and HBOMax. If you’re a ML/AL data scientist looking to shape the future of automated curation, check out their open roles. Follow our guests on LinkedIn: Shrikant Desai Sowmya Subramanian See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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Frequently Asked Questions

How long is this episode of The Stack Overflow Podcast?

This episode is 33 minutes long.

When was this The Stack Overflow Podcast episode published?

This episode was published on October 5, 2022.

What is this episode about?

Our guests have done most of their ML work on AWS offerings, from AWS Personalize for their initial recommendation engine to SageMaker for model training and deployment pipeline. Now they’re building models from scratch in TensorFlow. Want to see...

Can I download this The Stack Overflow Podcast episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.