Blog
The Future of Data Science is Software Engineering
Data science adds value in a company. But I’m not convinced that traditional data scientists do. And software engineering fills in a lot of the holes.
Digging into MLops: how it can help getting your Machine Learning models into production
What is MLops? And how can it help data science departments facing issues getting their machine learning models into production?
Algorithm bias is the design problem of the 21st century (and here’s what we can do about it)
We are placing more trust in AI and its algorithms. But how do we deal with algorithmic bias and what are the consequences?
Why I love outliers
Statistics and design have opposing views on the matter, and very different ways of dealing with outliers. I love outliers… and this is why.