Marketing Engineering focuses on predictive analytics using data mining techniques (part of the two-year master of Business Engineering at Ghent University).
Our paper titled “Evaluation of Stream Processing Frameworks” accepted for publication in IEEE Transactions for Parallel and Distributed Systems available from https://t.co/hUGTbJ2yPD DOI: 10.1109/TPDS.2020.2978480 #throughput#latency#streamprocessing#StructuredStreaming#orms
How does the #ApacheFlink runner work on @ApacheBeam and why you would use both frameworks together? This new post has the answers: https://t.co/AylFkqkPQF #streamprocessing
Our latest #ml#AI journal article (50 day free access) on using #MachineLearning and #IoT in the #refinery business: Partially replacing measurements by predictive models. Congrats Bram Steurtewagen. Thanks @klarr_io for financial support. #orms#sensors https://t.co/s2QQssvOB3
Finally organising an @ApacheBeam meetup in my home country tonight. Join us for a Beam intro, BeamSQL, ML use cases and visual pipeline development using Kettle tonight!
In this video we give an introduction to the DNA of Klarrio. More video fragments will follow by our domain #Cloud native experts in areas such as #DataEngineering & #DataScience
https://t.co/8NGwqhRlLe
Superb talk by Sander Dieleman (@sedielem) at #NIPS2017 on #DeepLearning for music recommendation and generation. See examples on his blog: https://t.co/bgS2ROoMH9