Apache MADlib

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

[Apache MADlib @ApacheMADlib]

Missed #FOSDEM2020? Watch the video of Frank McQulilan discussing how to train many deep learning model configurations at the same time with @Greenplum.

https://t.co/kpRDIY6aLQ

[Apache MADlib @ApacheMADlib]

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
https://t.co/w9svKrZNpj

[Apache MADlib @ApacheMADlib]

Did you miss our latest deep dive on MADlib 1.16? We've got the replay right here: https://t.co/mIK0yCEhPT
#AI, GPU acceleration, support for @PostgreSQL 11, and more!

[Apache MADlib @ApacheMADlib]

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: https://t.co/dLEZUBseAM

[Apache MADlib @ApacheMADlib]

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: https://t.co/YgcOHkHrY6

Source and binary packages: https://t.co/ySubtioSs1

[Apache MADlib @ApacheMADlib]

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: https://t.co/YgcOHkHrY6

Source and binary packages: https://t.co/ySubtioSs1

[Apache MADlib @ApacheMADlib]

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
https://t.co/jrLdWqYEeZ

[Apache MADlib @ApacheMADlib]

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.
https://t.co/M49yrmd2FX

[Apache MADlib @ApacheMADlib]

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 https://t.co/xkhmmvJEYB
#analytics #MachineLearning

[Apache MADlib @ApacheMADlib]

ICYMI: Watch the replay -- new features of @ApacheMADlib v1.14, comprehensive in-database algorithms for graph, ML, more for #PostgreSQL and @Greenplum.
https://t.co/t0DbNmi8ZJ
#analytics #MachineLearning

[Apache MADlib @ApacheMADlib]

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 https://t.co/gCfR20ULup
#analytics #MachineLearning

[Apache MADlib @ApacheMADlib]

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 https://t.co/d1gVLj4p6h
#analytics #MachineLearning

[Apache MADlib @ApacheMADlib]

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 https://t.co/DbglOGN13H

[Apache MADlib @ApacheMADlib]

ICYMI: Replay of ApacheMADlib 1.13 release webinar, including new graph and k-NN methods: https://t.co/Z01WFQFN4O #analytics #datascience #MachineLearning

[Apache MADlib @ApacheMADlib]

REMINDER: Join us for a deep dive into new features of @ApacheMADlib v1.13 TOMORROW 1/17 @ 11am PST /1900 GMT https://t.co/r3AIUnfNZx #analytics #DataScience #PostgreSQL

[Apache MADlib @ApacheMADlib]

.@Greenplum + .@ApacheMADlib = single platform for executing/scaling compute- intensive #analytics and #ML workloads https://t.co/hGCeIKWHyA

[Apache MADlib @ApacheMADlib]

From a research paper in 2009, to TLP in 2017: why Apache MADlib was developed for in-database machine learning. https://t.co/9Mj06oMm7W

[Apache MADlib @ApacheMADlib]

ICYMI: Replay of @ApacheMADlib v1.12 deep dive: new methods - graph, perceptron, more. #Analytics #MachineLearning
https://t.co/tYcEHp3sPQ

[Apache MADlib @ApacheMADlib]

@ApacheMADlib v1.12 is out! New graph, multi-layer perceptron #analytics. All accessible via SQL. https://t.co/e3vyAQLLXB #MachineLearning

[Apache MADlib @ApacheMADlib]

@ApacheMADlib now an ASF top-level project - congrats to the MADlib team! Learn more: https://t.co/e3vyAQLLXB. #analytics #MachineLearning

[Apache MADlib @ApacheMADlib]

Bay Area Meetup: Join us Tue, 7/25 @6:00pm at for a discussion of the data science behind insider threat detection.
https://t.co/nJb2NLZUao