Open source data labeling tools - Changelog Master Feed |...

What this episode covers

What’s the most practical of practical AI things? Data labeling of course! It’s also one of the most time consuming and error prone processes that we deal with in AI development. Michael Malyuk of Heartex and Label Studio joins us to discuss various data labeling challenges and open source tooling to help us overcome those challenges.Sponsors:DigitalOcean Managed Kubernetes – DigitalOcean makes it super simple to launch a Kubernetes cluster in minutes. Developers can now run and scale container-based workloads with ease on the DigitalOcean platform. Learn more and get started for free with a $50 credit at do.co/changelogKubeCon + CloudNativeCon (Amsterdam 2020) – Get an additional 10% off EARLYBIRD registration pricing with the code KCEUGOTIME — ends November 8th! Learn more and register. AI Demystified (FREE five-day mini-course) – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. Featuring:Michael Malyuk – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:HeartexLabel StudioBooks“Paradigms of Artificial Intelligence Programming” by Peter NorvigUpcoming Events: Register for upcoming webinars here!

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How long is this episode of Changelog Master Feed?

This episode is 44 minutes long.

When was this Changelog Master Feed episode published?

This episode was published on November 5, 2019.

What is this episode about?

What’s the most practical of practical AI things? Data labeling of course! It’s also one of the most time consuming and error prone processes that we deal with in AI development. Michael Malyuk of Heartex and Label Studio joins us to discuss various...

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Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

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