In an earlier post on Applying Machine Learning to IoT Sensors, I discussed the process for classifying sensor data with a mac... (more…)

The one-day workshop focuses on the problem of privacy-preserving machine learning in scenarios where sensitive datasets are distributed across multiple data owners. Such distributed scenarios occur quite often in practice, for example when different part...

This book is focussed on applying machine learning solutions for real practical use cases. This means that the core focus in this book is outlining how to use open machine learning solutions in a simple way. This so you and everyone can benefit of this po... (more…)

If you'd like to get updates on how my progress goes, feel free to subscribe here or follow me on twitter! In 2020 and beyond, I plan to dive more deeply into independent research projects in Machine Learning and Theoretical Neuroscience. It has been on m... (more…)

Abstract. Machine learning is a branch of computer science that has the potential to transform epidemiologic sciences. Amid a growing focus on “Big Data,” it o... (more…)