Big Data Expo 2015 - Big 4 Data BonaparteBigDataExpo
Sinds 2010 gebruikt het Nederlands Forensisch Instituut (NFI) Bonaparte voor slachtofferidentificatie. Deze software is speciaal voor het NFI ontwikkeld door Big4Data. Big4Data is specialist op het gebied van Machine Learning en Kunstmatige Intelligentie technieken en ontwikkelt modellen waarmee ‘Big Data’ vraagstukken beantwoord kunnen worden.
In deze keynote zal Willem Burgers, ontwikkelaar van Bonaparte, belichten hoe de software tot stand is gekomen en hoe de technieken die zijn ontwikkeld voor artificieel redeneren, worden gebruikt om het biologische verwantschapsmodel (op basis van DNA) te modelleren. Tot slot zal hij ingaan op enkele van de zaken waarvoor Bonaparte is gebruikt door het NFI; onder meer MH17 (2014), Tripoli (2010), de Vaatstra zaak (2012) zullen worden besproken.
Expert Session delivered during Workshop on
Image Processing and Machine Learning for Pattern Recoginition on 11th July 2016 at
University Institute of Engineering and Technology, Chandigarh
Big Data Expo 2015 - Big 4 Data BonaparteBigDataExpo
Sinds 2010 gebruikt het Nederlands Forensisch Instituut (NFI) Bonaparte voor slachtofferidentificatie. Deze software is speciaal voor het NFI ontwikkeld door Big4Data. Big4Data is specialist op het gebied van Machine Learning en Kunstmatige Intelligentie technieken en ontwikkelt modellen waarmee ‘Big Data’ vraagstukken beantwoord kunnen worden.
In deze keynote zal Willem Burgers, ontwikkelaar van Bonaparte, belichten hoe de software tot stand is gekomen en hoe de technieken die zijn ontwikkeld voor artificieel redeneren, worden gebruikt om het biologische verwantschapsmodel (op basis van DNA) te modelleren. Tot slot zal hij ingaan op enkele van de zaken waarvoor Bonaparte is gebruikt door het NFI; onder meer MH17 (2014), Tripoli (2010), de Vaatstra zaak (2012) zullen worden besproken.
Expert Session delivered during Workshop on
Image Processing and Machine Learning for Pattern Recoginition on 11th July 2016 at
University Institute of Engineering and Technology, Chandigarh
Applications of Machine Learning at USC presentation by Alex Tellez
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
Machine Learning and Real-World ApplicationsMachinePulse
This presentation was created by Ajay, Machine Learning Scientist at MachinePulse, to present at a Meetup on Jan. 30, 2015. These slides provide an overview of widely used machine learning algorithms. The slides conclude with examples of real world applications.
Ajay Ramaseshan, is a Machine Learning Scientist at MachinePulse. He holds a Bachelors degree in Computer Science from NITK, Suratkhal and a Master in Machine Learning and Data Mining from Aalto University School of Science, Finland. He has extensive experience in the machine learning domain and has dealt with various real world problems.
This talk given at the Hadoop Summit in San Jose on June 28, 2016, analyzes a few major trends in Big Data analytics.
These are a few takeaways from this talk:
- Adopt Apache Beam for easier development and portability between Big Data Execution Engines.
- Adopt stream analytics for faster time to insight, competitive advantages and operational efficiency.
- Accelerate your Big Data applications with In-Memory open source tools.
- Adopt Rapid Application Development of Big Data applications: APIs, Notebooks, GUIs, Microservices…
- Have Machine Learning part of your strategy or passively watch your industry completely transformed!
- How to advance your strategy for hybrid integration between cloud and on-premise deployments?
Data Science inspiratie sessie, ludieke voorbeelden die enkele machine learning technieken illustreren. Voorspellen van huizenprijzen, soap analytics, auto's, Ikea, de nederlandse film wereld
Jaap Huisprijzen, GTST, The Bold, IKEA en IensLonghow Lam
Jaap Huisprijzen, GTST, The Bold, IKEA en Iens, zomaar wat toepassingen van machine learning met Dataiku.
Slides of my presentation at BigDataExpo Utrect 20-Sep-2018
Slides from my lightning talk at satRDay Amsterdam, 1 sep 2018. Two hobby projects with R package text2vec. 1. Predicting house prices from house descriptions. 2. Word embeddings from the soap series The Bold and The Beautiful
Slides of my presentation at the Dataiku meetup on 12th July in Amsterdam (NL)
https://www.meetup.com/Analytics-Data-Science-by-Dataiku-Amsterdam/events/251910036/
Applications of Machine Learning at USC presentation by Alex Tellez
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
Machine Learning and Real-World ApplicationsMachinePulse
This presentation was created by Ajay, Machine Learning Scientist at MachinePulse, to present at a Meetup on Jan. 30, 2015. These slides provide an overview of widely used machine learning algorithms. The slides conclude with examples of real world applications.
Ajay Ramaseshan, is a Machine Learning Scientist at MachinePulse. He holds a Bachelors degree in Computer Science from NITK, Suratkhal and a Master in Machine Learning and Data Mining from Aalto University School of Science, Finland. He has extensive experience in the machine learning domain and has dealt with various real world problems.
This talk given at the Hadoop Summit in San Jose on June 28, 2016, analyzes a few major trends in Big Data analytics.
These are a few takeaways from this talk:
- Adopt Apache Beam for easier development and portability between Big Data Execution Engines.
- Adopt stream analytics for faster time to insight, competitive advantages and operational efficiency.
- Accelerate your Big Data applications with In-Memory open source tools.
- Adopt Rapid Application Development of Big Data applications: APIs, Notebooks, GUIs, Microservices…
- Have Machine Learning part of your strategy or passively watch your industry completely transformed!
- How to advance your strategy for hybrid integration between cloud and on-premise deployments?
Data Science inspiratie sessie, ludieke voorbeelden die enkele machine learning technieken illustreren. Voorspellen van huizenprijzen, soap analytics, auto's, Ikea, de nederlandse film wereld
Jaap Huisprijzen, GTST, The Bold, IKEA en IensLonghow Lam
Jaap Huisprijzen, GTST, The Bold, IKEA en Iens, zomaar wat toepassingen van machine learning met Dataiku.
Slides of my presentation at BigDataExpo Utrect 20-Sep-2018
Slides from my lightning talk at satRDay Amsterdam, 1 sep 2018. Two hobby projects with R package text2vec. 1. Predicting house prices from house descriptions. 2. Word embeddings from the soap series The Bold and The Beautiful
Slides of my presentation at the Dataiku meetup on 12th July in Amsterdam (NL)
https://www.meetup.com/Analytics-Data-Science-by-Dataiku-Amsterdam/events/251910036/