The Power of Real-Time Machine Learning by Ji Lucas
1,497 views · Published 11 November 2016 · 15:20 · Indexed 17 October 2026
Channel: Devoxx · 2016 · Science & Technology
We will demonstrate how to build machine learning software pipelines using Spring framework, J2EE, Weka and redis for leveraging real time social media data to create resource maps for humanitarian organizations during large-scale natural disasters. The pipeline involves creating coupled modules for harnessing the power of the crowd to initially tag social media data; invoking machine learning classifiers to automate data tagging in real time and pushing the results on geo-referenced maps. Our application has revolutionized the use of social media in large-scale humanitarian relief efforts. Ji Lucas is a software specialist who likes to translate research output into high-quality prototypes that can be consumed by end users across many domains. Ji Lucas is passionate about ensuring that the scientific “Discovery” gets “Delivered” into concrete products. [RVO-9682]
More from this channel
-
32:13
Writing Groovy AST Transformations: Getting Practical in an hour! by Baruch Sadogursky
-
25:58
TweetWallFX - Behind the Scenes by Sven Reimers
-
29:44
Second generation "workflow managers" for big data by Alex Van Boxel
-
29:13
Secrets are secrets. Please maintain them as secrets by Alex Soto
-
2:13:40
JavaScript build pipelines with Gulp.js by Stefan Baumgartner
-
2:04:09
Powerful Metaprogramming Techniques With Groovy by Jeff Brown
-
2:38:32
Distributed Machine Learning 101 using Apache Spark from a Browser by Xavier Tordoir/Andy Petrella
-
2:36:21
Caching 101: Caching on the JVM (and beyond) by Alex Snaps/Louis Jacomet