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Pachyderm
Pachyderm
On-demand
  • Pachyderm 1.9 Deep-Dive (with examples!)
    Wednesday, July 17, 2019 · 3:00 PM EDT
    We packed a lot into the 1.9 release of Pachyderm and we have the feature-list to prove it. In this webinar we're going to cover all these great features and follow up each item with a quick demo/example.
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    From Zero To Production ML in 30 mins using Loodse & Pachyderm
    Wednesday, February 20, 2019 · 2:00 PM EST
    As machine learning systems continue to take a more central role in real-world production environments, data scientists are being driven towards technologies like Kubernetes and Docker. Thanks to their steep learning curve, many data scientists en...
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    Pachyderm 1.8 GA Announcement
    Friday, November 16, 2018 · 2:00 PM EST
    We've been hard at work improving Pachyderm to make it the fastest and most production-ready version of Pachyderm to date.
  • Solving data provenance and scalability in biotech with Pachyderm
    Wednesday, September 26, 2018 · 1:00 PM EDT
    Pachyderm is “Git for Data Science.” We offer a complete enterprise-grade solution that brings scalability and complete version control for data while making sure your data science team has the same first-class development tools as software develo...
Past
  • Pachyderm Open Office Hours
    Friday, August 3, 2018 · 4:30 PM EDT
    Behold! Pachyderm is hosting open office hours every other Wednesday for 30 knowledge filled minutes. So, if you've been wanting to ask us questions about the platform, talk about data science best-practices, or... how it's weird that there is no ...
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    Testing
    Friday, July 27, 2018 · 6:00 PM EDT
    testing
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    Test Webinar
    Friday, July 27, 2018 · 5:30 PM EDT
    test
Pachyderm is an enterprise-grade, open-source data science platform that makes explainable, repeatable, and scalable ML/AI a reality. Offered both as an in-house solution as well as hosted-service, Pachyderm brings together version-control for data with the tools to build scalable end-to-end ML/AI pipelines while empowering users to use any language, framework, or tool they want.
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