Great way to start the new year: moved into our new office! Co.Station

As winner of the B-Hive Europe Fintech Hackathon, we look forward to develop our Proof of Concept with MasterCard and AXA.

Boltzmann present at the #Tech4Fin Pitching session!

Learn how to detect anomalies at Data Science Meetup Leuven, tonight. #Boltzmann's partner Tim Verdonck is giving a talk at 7.30 pm, meet us there! #meetup #datascience meetup.com/Data-Science-L…

We just launched our new website! Go check it out at boltzmann.be

To me the Boltzmann Machine is the most elegant model ever by far, so I'm happy we made progress on its close cousin -- the Energy-Based Model:

Boltzmann was invited to lecture at the Vlerick Business School "Big Data and Analytics for Finance and Strategy" bootcamp. During the three weeks we showed the students the theory behind machine learning and data science and its practical application. linkedin.com/feed/update/ur…

Machine learning optimizes the flavor of basil leaves. I love pesto. technologyreview.com/s/613262/machi… technologyreview.com/s/613262/machi…

👨‍🎓Fraud detection with Machine Learning Techniques by Boltzmann at our #FINANDTONIC hosted by Invest NI. With FRISS, Bit4you and Temenos Temenos MarketPlace #fintech #belgium #MachineLearning

After a year of hard work, today we (pre)launch Ludwig, the A.I. assistant for accountants! Live demo at 2pm on #fastforward19 Silverfin, c u there! lnkd.in/edZPJhD

Get inspired at the first AI4growth session on June 13th. Proud to be an organising partner! Meet us there ai4growth.be/session1

"We’ve spent the last year wringing our hands about a crisis that doesn’t exist"

Selecting features using all data before splitting into folds for training/testing is a big source of train-test leakage. To demonstrate, I generated random data and labels, select down to 25 features, and train a model. Much better than random performance due to the leakage.

Kicking-off #UGent’s #AI4Growth Initiative Ghent University Research #ProudFounder Boltzmann

Simon at @IEEE_SPI2019 : A Bayesian Approach to Adaptive Frequency Sampling