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#quixstreams — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #quixstreams, aggregated by home.social.

  1. Explore #QuixStreams - an #opensource #Python library that makes it easy for engineers to build real-time ML pipelines without having to learn the intricacies of building a streaming application from scratch.

    Learn more about the magic behind it: bit.ly/483oT3U

    This #InfoQ talk is relevant for data scientists, ML engineers, and software engineers who are looking to adopt new technologies and practices to build real-time ML pipelines and stay current in their field.

    #AI #ML #DataPipelines

  2. Explore #QuixStreams - an #opensource #Python library that makes it easy for engineers to build real-time ML pipelines without having to learn the intricacies of building a streaming application from scratch.

    Learn more about the magic behind it: bit.ly/483oT3U

    This #InfoQ talk is relevant for data scientists, ML engineers, and software engineers who are looking to adopt new technologies and practices to build real-time ML pipelines and stay current in their field.

    #AI #ML #DataPipelines

  3. Explore #QuixStreams - an #opensource #Python library that makes it easy for engineers to build real-time ML pipelines without having to learn the intricacies of building a streaming application from scratch.

    Learn more about the magic behind it: bit.ly/483oT3U

    This #InfoQ talk is relevant for data scientists, ML engineers, and software engineers who are looking to adopt new technologies and practices to build real-time ML pipelines and stay current in their field.

    #AI #ML #DataPipelines

  4. Explore #QuixStreams - an #opensource #Python library that makes it easy for engineers to build real-time ML pipelines without having to learn the intricacies of building a streaming application from scratch.

    Learn more about the magic behind it: bit.ly/483oT3U

    This #InfoQ talk is relevant for data scientists, ML engineers, and software engineers who are looking to adopt new technologies and practices to build real-time ML pipelines and stay current in their field.

    #AI #ML #DataPipelines

  5. Explore - an library that makes it easy for engineers to build real-time ML pipelines without having to learn the intricacies of building a streaming application from scratch.

    Learn more about the magic behind it: bit.ly/483oT3U

    This talk is relevant for data scientists, ML engineers, and software engineers who are looking to adopt new technologies and practices to build real-time ML pipelines and stay current in their field.

  6. Learn about #QuixStreams - an #opensource #Python library that simplifies Real-Time ML pipelines.

    Tomáš Neubauer discusses various architecture designs, pros & cons, and demonstrates a real use case using Quix Streams & a TensorFlow model.

    🎧 Listen to the #InfoQ podcast: bit.ly/3Nl2ZCl

    #ML #DataPipelines

  7. Learn about #QuixStreams - an #opensource #Python library that simplifies Real-Time ML pipelines.

    Tomáš Neubauer discusses various architecture designs, pros & cons, and demonstrates a real use case using Quix Streams & a TensorFlow model.

    🎧 Listen to the #InfoQ podcast: bit.ly/3Nl2ZCl

    #ML #DataPipelines

  8. Learn about #QuixStreams - an #opensource #Python library that simplifies Real-Time ML pipelines.

    Tomáš Neubauer discusses various architecture designs, pros & cons, and demonstrates a real use case using Quix Streams & a TensorFlow model.

    🎧 Listen to the #InfoQ podcast: bit.ly/3Nl2ZCl

    #ML #DataPipelines

  9. Learn about #QuixStreams - an #opensource #Python library that simplifies Real-Time ML pipelines.

    Tomáš Neubauer discusses various architecture designs, pros & cons, and demonstrates a real use case using Quix Streams & a TensorFlow model.

    🎧 Listen to the #InfoQ podcast: bit.ly/3Nl2ZCl

    #ML #DataPipelines

  10. Learn about - an library that simplifies Real-Time ML pipelines.

    Tomáš Neubauer discusses various architecture designs, pros & cons, and demonstrates a real use case using Quix Streams & a TensorFlow model.

    🎧 Listen to the podcast: bit.ly/3Nl2ZCl