Financial Times: Wall Street and AI – an article

financial times article snippet

Sigmoidal’s Head of AI, Marek Bardonski has been featured in the Financial Times in an article about using trading for Machine Learning by John Dizard. The article speaks about AI-powered, automated trading decisions – and what challenges (and opportunities) it poses to Wall Street. “Most of the theoretical work for autonomous driving has been done. […]

How does AlphaGo work? Power of Reinforcement Learning


In October 2015, AlphaGo, an AI-powered system, beat Mr. Fan Hui, the reigning 3-times European Champion of the complex boardgame Go, by 5 points to 0. It was the first time an AI conquered a human in such a sophisticated game. The game of Go Go is an abstract strategy board game for two players […]

Variational Dropout – Uncertainty in Deep Learning?

How to be certain with uncertainty in Deep Learning

Last Thursday, our Senior Deep Learning Researcher gave a lecture in Warsaw at the event co-sponsored by Sigmoidal – Data Science PL group: Marcin covers the topic of measuring certainty using a relatively unknown technique known as Variational Dropout. Another method only briefly covered in research that proved very useful in working with small datasets […]

Data Science Events – Celebrating 2048 Members

data science pl

We’re celebrating the 2nd birthday of the Data Science PL group – the largest Polish online community of Data Scientists and Machine Learning Enthusiasts! Thanks to our sponsors – Sigmoidal, the QuantFin Foundation and Piotr Migdał we’re organizing an educational meetup. You’ll meet Poland’s strongest folks in the Data Science space and snack on some […]

IoT World Santa Clara – Meet the Sigmoidal team


Machine Learning consulting at the international IoT conference? Sure! Sigmoidal is excited to be exhibiting at the IoT World Conference at Santa Clara, the west coast’s largest digital IoT conference. The event is being held May 16-18 at the Convention Center in Santa Clara. It will cover IoT Strategies to Target and Engage the Consumers […]

Jupyter notebook shortcuts explained

Jupyter 1

Today I’m going to write about Jupyter Notebook, previously known as IPython Notebook. It’s a tool that allows you to create interactive python sessions, visualize results, and easily distribute them. It’s widely used among machine learners and university professors. How does it look? Here is the notebook window of Jupyter Notebook. As you can see, […]

Machine Learning Pipeline – you’ve got it wrong

Cogs on the floor

Design specs. Write software. Test it, fix bugs, post to production. Agile development is omnipresent in the software development world. However, the Machine Learning development is more like a creative research process. There are certain similarities though, which I’d like to shortly outline here. For those of you that never worked on building an end-to-end […]