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deepsense.io Data Scientist Wins AAIA'15 Data Mining Competition 2015.10.23

Warsaw, Poland - October 22, 2015 - deepsense.io, a pure Apache Spark company providing code-free data manipulation and predictive analytics, today announced that Jan Lasek, deepsense.io Data Scientist, claimed victory in the high profile AAIA'15 (International Symposium on Advances in Artificial Intelligence and Applications) Data Mining Competition: Tagging Firefighter Activities at a Fire Scene organized jointly by the University of Warsaw and the Main School of Fire Service, in Warsaw, Poland. It lasted over 3 months during which Jan beat 79 contestants, who submitted a total of 1,840 proposals.

Jan Lasek, deepsense.io Data Scientist, claimed victory in the high profile AAIA'15 Data Mining Competition.
Photo courtesy of deepsense.io
 

Warsaw, Poland – October 22, 2015

• Competition challenged contestants to utilize data science toward firefighters’ safety on the scene during an emergency mission

deepsense.io, a pure Apache Spark company providing code-free data manipulation and predictive analytics, today announced that Jan Lasek, deepsense.io Data Scientist, claimed victory in the high profile AAIA'15 (International Symposium on Advances in Artificial Intelligence and Applications) Data Mining Competition: Tagging Firefighter Activities at a Fire Scene organized jointly by the University of Warsaw and the Main School of Fire Service, in Warsaw, Poland.

 
 
International Symposium on Advances in Artificial Intelligence and Applications AAIA'15

https://fedcsis.org/aaia  

 
 
It lasted over 3 months during which Jan beat 79 contestants, who submitted a total of 1,840 proposals.

deepsense.io machine learning team loves challenges and successfully participate in many machine learning and data science competitions.

Photo courtesy of fedcsis.org
 
The contest won by Jan Lasek focused on creating a decision-support tool at an emergency scene.

The goal was to develop a model that recognizes what activity a fireman is performing based on sensory data from his body movements and a collection of statistics monitoring his vital functions.

Photo courtesy of deepsense.io / fedcsis.org
 
The competition featured a cash award as well as an opportunity to present the winning solution at the 2015 Federated Conference on Computer Science and Information Systems.

Photo courtesy of deepsense.io
 
“It was the first time I took part in such a competition. I like my job and the idea that data science can contribute to the safety of firemen. The realization that data science is growing in importance and given an opportunity to improve the lives of firemen inspired me to take part in this contest,”
said deepsense.io’s Jan Lasek, a Data Scientist.
“Hopefully, the results of the competition will be used for better control over an emergency scene.”

Photo courtesy of deepsense.io
 
The winning solution involved extensive feature engineering and an ensemble of random forest classifiers.

Jan used R for statistical computation, data exploration and to test his approach.

To find out more on his winning strategy, please read his blog post: Machine Learning for Greater Fire Scene Safety.

http://deepsense.io/machine-learning-greater-fire-scene-safety/  


Robert Bogucki, Chief Science Officer at deepsense.io.
Photo courtesy of deepsense.io
 
“I am proud to see Jan, a member of our machine learning team, have his skills put to the test and win such an inspiring competition. This is a demonstration of the high level of expertise among our professionals,”
said Robert Bogucki, Chief Science Officer at deepsense.io.
“This was a challenging, but rewarding problem to approach. Jan’s hard work, persistence and creativity during this competition show us how machine learning can contribute to greater safety at a fire scene.”

Tomasz Kulakowski, CEO at deepsense.io.
Photo courtesy of deepsense.io
 
To learn more about the competition: AAIA ‘15

https://knowledgepit.fedcsis.org/contest/view.php?id=106  

To learn more about deepsense.io Machine Learning services: Machine Learning Consulting

http://deepsense.io/services/machine-learning/  


About deepsense.io

Ex Google, Facebook and Microsoft software engineers and data scientists, who have built a successful software company in the US and Poland.

 
 
Currently building a scalable data analytics product called Seahorse – an agile and comprehensive end-to-end platform built on Apache Spark for Big Data analysis that provides data scientists the capabilities to design, edit and execute Spark applications using a web-based code-free interface.

 
 
Seahorse’s competitive advantage is that it is quick and easy to use, is available on-premises and can process unlimited datasets.

http://deepsense.io/  


deepsense.io Media Contact:

Lukas Jaglowski
Communications Manager
T: +1 650 646 8126
E: lukas@deepsense.io  


deepsense.io, deepsense.io’s Seahorse Community Edition, deepsense.io's Seahorse, are trademarks or registered trademarks of CodiLime, Inc. in the United States, and in jurisdictions throughout the world.
Apache Spark, Spark, the Spark logo, and Apache are trademarks of the Apache Software Foundation.

All other company and product names may be trade names or trademarks of their respective owners.


Where to meet us:

Spark Summit Europe 2015
Oct 27-29, 2015, Amsterdam, Holland

Strata+Hadoop World
March 29 - 31, 2016, San Jose, USA

Hadoop Summit
April 13-14, 2016, Dublin, Ireland


Trainings & webinars:

Spark & Machine Learning workshops
Nov 26-27, 2015, London, England

Spark & Machine Learning workshops
Nov 28-29, 2015, London, England


Source: deepsense.io

http://deepsense.io/  



ASTROMAN Magazine - 2015.09.30

deepsense.io to feature Seahorse Community Edition on the Trusted Analytics Platform developed by Intel

http://www.astroman.com.pl/index.php?mod=magazine&a=read&id=1971  



Editor-in-Chief of ASTROMAN magazine: Roman Wojtala, PhD.


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