Understanding what a model doesn’t know is important both from the practitioner’s perspective and for the end users of many different machine learning applications. I...
While businesses around the globe continue to evolve their approaches to data exchange and storage, the rise of blockchain enterprises that specialize in helping other bu...
Machine learning is the branch of computer science and a subfield of Artificial Intelligence that utilizes past data to learn from and use its knowledge to make future de...
We live in the world of AI currently, and there is plenty of talk about what the future holds. With doubts over the future everywhere, one can predict that AI is soon goi...
Supervised learning – A blessing we have in this machines era. It helps to depict inputs to outputs. It uses labelled training data to deduce a function which has set o...
Machine Learning / Deep Learning models can be used in different ways to do predictions. My preferred way is to deploy an analytic model directly into a stream processing...
I had a new talk presented at “Codemotion Amsterdam 2018” this week. I discussed the relation of Apache Kafka and Machine Learning to build a Machine Learning...
Guest blog post by David Enríquez Arriano. For more information or to get higher pictures resolution, contact the author (see contact information at the bottom of this a...
A “quick” introduction to PyMC3 and Bayesian models, Part I In this post, I give a “brief”, practical introduction using a specific and hopefully relate-able exa...
The original intent of this post was to take a real-life project with GraphQL and to see the performance of gRPC against HTTP. Instead, we ended up using the awesome Gra...