Apache MADlib

@ApacheMADlib

Apache MADlib: big data machine learning for data scientists. Runs on Apache HAWQ, Greenplum and PostgreSQL.

The Apache Software Foundation
madlib.apache.org
Vrijeme pridruživanja: svibanj 2012.
28 fotografija ili videozapisa Fotografije i videozapisi

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  1. prije 20 sati

    Missed ? Watch the video of Frank McQulilan discussing how to train many deep learning model configurations at the same time with .

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  2. 14. kol 2019.

    Transfer learning applies a pre-trained model from one setting to a different, related setting. In the 2nd of two blog posts on , 's Frank McQuillan shows you how with Greenplum.

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  3. 7. kol 2019.

    Did you miss our latest deep dive on MADlib 1.16? We've got the replay right here: , GPU acceleration, support for 11, and more!

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  4. 23. srp 2019.

    LIVE: Join us Thursday, Aug 1 at 1100 PDT for the MADlib Community call. We'll look into the new release which supports Keras with TensorFlow backend and GPU acceleration, and even walk through a demo! Link:

    The team is pleased to announce Apache MADlib version 1.16, with deep learning capabilities, including support for Keras with TensorFlow backend and GPU acceleration. Release notes: Source and binary packages:
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  5. 17. srp 2019.

    The team is pleased to announce Apache MADlib version 1.16, with deep learning capabilities, including support for Keras with TensorFlow backend and GPU acceleration. Release notes: Source and binary packages:

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  6. 6. velj 2019.

    Distributed deep learning is challenging (but fun!), for things like computer vision. Learn how makes it faster with multi-node, multi-GPU execution in .

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  7. 31. sij 2019.

    Graph analytics? Can you do that in a data warehouse? Yes you can, with Pivotal Greenplum and Apache MADlib. Pivotal's HongDon Lee shows you how.

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  8. 20. kol 2018.

    Thursday: Join us for a deep dive into new features of v1.15, comprehensive in-database algorithms for graph, ML, more for and . Thu 8/23 @ 1100 PDT/1700 UTC+1

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  9. 10. svi 2018.

    ICYMI: Watch the replay -- new features of v1.14, comprehensive in-database algorithms for graph, ML, more for and .

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  10. 10. svi 2018.

    STARTING NOW: Join us for a deep dive into new features of v1.14, comprehensive in-database algorithms for graph, ML, more for and . Thu 5/10 @ 1100 PDT/1900 GMT

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  11. 8. svi 2018.

    REMINDER: Join us for a deep dive into new features of v1.14, comprehensive in-database algorithms for graph, ML, more for and . Thu 5/10 @ 1100 PDT/1900 GMT

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  12. 31. sij 2018.

    Graph-theoretic analytics enable a wide range of use cases, from cyber-security to supply distribution. Learn how to put graph analytics to work for you.

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  13. 17. sij 2018.

    ICYMI: Replay of ApacheMADlib 1.13 release webinar, including new graph and k-NN methods:

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  14. 16. sij 2018.

    REMINDER: Join us for a deep dive into new features of v1.13 TOMORROW 1/17 @ 11am PST /1900 GMT

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  15. 11. lis 2017.

    . + . = single platform for executing/scaling compute- intensive and workloads

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  16. 6. lis 2017.

    From a research paper in 2009, to TLP in 2017: why Apache MADlib was developed for in-database machine learning.

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  17. proslijedio/la je Tweet
    14. ruj 2017.

    Greenplum also supports in-database machine learning with . Faster modeling, better .

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  18. 11. ruj 2017.

    ICYMI: Replay of v1.12 deep dive: new methods - graph, perceptron, more.

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  19. 30. kol 2017.

    v1.12 is out! New graph, multi-layer perceptron . All accessible via SQL.

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  20. 22. kol 2017.

    now an ASF top-level project - congrats to the MADlib team! Learn more: .

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