Next Meetup

Machine Learning Pipelines at Google
This is one of online AI tech talk series, you can listen, watch, and Q&A with speaker from anywhere in the world: Join online: Abstract: Kubeflow pipelines are reusable end-to-end ML workflows built using the Kubeflow Pipelines SDK. The Kubeflow pipelines service has the following goals: * End to end orchestration: enabling and simplifying the orchestration of end to end machine learning pipelines. * Easy experimentation: making it easy for you to try numerous ideas and techniques, and manage your various trials/experiments. * Easy re-use: enabling you to re-use components and pipelines to quickly cobble together end to end solutions, without having to re-build each time. Kubeflow pipelines are implemented on top of Kubernetes so it is highly portable and also supports hybrid solutions. Although it is on K8s, users of pipelines does not need to understand anything about Kubernetes or docker. They are given the familiar tools: Python + Jupyter notebooks to create their pipelines and pipeline components. Speaker: Bradley Jiang, Tech Lead in Google More online AI tech talks: Recorded video is available on Youtube:


TBD · São Paulo

    Past Meetups (7)

    What we're about

    Welcome to the group. We’re excited to bring you the latest and practical technology on AI, Machine Learning, Deep Learning, Data Science and Big Data.

    Our goal is to congregate with AI enthusiasts from all over Sao Paulo to learn and practice AI tech, through tech talks, study jams, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, Cloud, Data, Blockchain.

    If you’d like to speak at future meetups, co-promote your meetup or inquire about partnership opportunities, please feel free to reach out to us.

    Thank you

    Kelvin, Community Manager

    ===Tentative Agenda =====

    5:30pm - 5:50pm, Snack & social
    5:50pm - 6:00pm, Intro/announcement
    6:00pm - 7:00pm, Tech Talk 1 and Q&A
    7:00pm - 8:00pm, Tech Talk 2 and Q&A
    8:00pm - 8:30pm, Mingle

    Members (430)

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