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    Open source data labeling tools

    Open source data labeling tools

    FromPractical AI: Machine Learning, Data Science

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    Open source data labeling tools

    FromPractical AI: Machine Learning, Data Science

    ratings:
    Length:
    44 minutes
    Released:
    Nov 5, 2019
    Format:
    Podcast episode

    Description

    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.
    Released:
    Nov 5, 2019
    Format:
    Podcast episode

    Titles in the series (100)

    Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, and more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!