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Apache MADlib @ApacheMADlib

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

Joined May 2012
  • Tweets 220
  • Following 57
  • Followers 649
28 Photos and videos
Missed #FOSDEM2020? Watch the video of Frank McQulilan discussing how to train many deep learning model configurations at the same time with @Greenplum. insidehpc.com/2020/02/effici…
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Transfer learning applies a pre-trained model from one setting to a different, related setting. In the 2nd of two blog posts on #DeepLearning, @pivotal's Frank McQuillan shows you how with Greenplum. #AI content.pivotal.io/practitio…

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Did you miss our latest deep dive on MADlib 1.16? We've got the replay right here: youtu.be/uLW5By66Lf0 #AI, GPU acceleration, support for @PostgreSQL 11, and more!

MADlib 1.16: Deep learning, GPU acceleration, more

Replay of the MADlib 1.16 deep dive and demo, presented by Pivotal'...

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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! #DeepLearning #ArtificialIntelligence Link: pivotal.zoom.us/j/3443990596

Apache MADlib@ApacheMADlib
17 Jul 2019
The @ApacheMADlib 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: cwiki.apache.org/confluence/… Source and binary packages: madlib.apache.org/download.h…
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The @ApacheMADlib 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: cwiki.apache.org/confluence/… Source and binary packages: madlib.apache.org/download.h…

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Distributed deep learning is challenging (but fun!), for things like computer vision. Learn how @ApacheMADlib makes it faster with multi-node, multi-GPU execution in @Greenplum. #AI #DeepLearning youtube.com/watch?v=uG110mk5…

Deep Learning with Greenplum

In this video we discuss the use of massively parallel databases fo...

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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. content.pivotal.io/slides/gr…
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Thursday: Join us for a deep dive into new features of @ApacheMADlib v1.15, comprehensive in-database algorithms for graph, ML, more for #PostgreSQL and @Greenplum. Thu 8/23 @ 1100 PDT/1700 UTC 1 pivotal.zoom.us/j/960317727 #analytics #MachineLearning
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ICYMI: Watch the replay -- new features of @ApacheMADlib v1.14, comprehensive in-database algorithms for graph, ML, more for #PostgreSQL and @Greenplum. youtu.be/Afj2-msgovg #analytics #MachineLearning

MADlib 1.14 Deep Dive

Walk-through of new features in Apache MADlib 1.14, led by Nikhil K...

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STARTING NOW: Join us for a deep dive into new features of @ApacheMADlib v1.14, comprehensive in-database algorithms for graph, ML, more for #PostgreSQL and @Greenplum. Thu 5/10 @ 1100 PDT/1900 GMT pivotal.zoom.us/j/994236734 #analytics #MachineLearning
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REMINDER: Join us for a deep dive into new features of @ApacheMADlib v1.14, comprehensive in-database algorithms for graph, ML, more for #PostgreSQL and @Greenplum. Thu 5/10 @ 1100 PDT/1900 GMT pivotal.zoom.us/j/994236734 #analytics #MachineLearning
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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. #data #analytics content.pivotal.io/blog/grap…
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ICYMI: Replay of ApacheMADlib 1.13 release webinar, including new graph and k-NN methods: youtu.be/umHh3PsFHXM #analytics #datascience #MachineLearning
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REMINDER: Join us for a deep dive into new features of @ApacheMADlib v1.13 TOMORROW 1/17 @ 11am PST /1900 GMT pivotal.zoom.us/j/868705895 #analytics #DataScience #PostgreSQL
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.@Greenplum .@ApacheMADlib = single platform for executing/scaling compute- intensive #analytics and #ML workloads datanami.com/2017/10/10/matu…
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From a research paper in 2009, to TLP in 2017: why Apache MADlib was developed for in-database machine learning. content.pivotal.io/blog/apac…
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ICYMI: Replay of @ApacheMADlib v1.12 deep dive: new methods - graph, perceptron, more. #Analytics #MachineLearning youtu.be/l-orm3o0nxo
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@ApacheMADlib v1.12 is out! New graph, multi-layer perceptron #analytics. All accessible via SQL. madlib.apache.org #MachineLearning
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@ApacheMADlib now an ASF top-level project - congrats to the MADlib team! Learn more: madlib.apache.org. #analytics #MachineLearning
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Bay Area Meetup: Join us Tue, 7/25 @6:00pm at for a discussion of the data science behind insider threat detection. meetu.ps/e/CRBFn/3h0cP/a
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