Blog
a 5 minute guide to Responsible AI
Responsible AI: what is it, why should you care and open source toolkits.
Speaking at ITARC about the Future of Data Science
Climate data on Azure
Dutch Design Week panel: Supermarket of the future
WiDS talk: Data Science in the real world
Presenting at the WiDS group about ‘Data Science in the Real World’.
Machine Learning Street Talk: Autonomous Learning
Guest on ‘Machine Learning Street Talk’ channel about autonomous learning.
How do I become a Data Scientist?
The #1 question people ask me is “how do I become a Data Scientist?”. In this post I will tell you all about resources where you can learn data science, where I continue learning and how I stay up-to-date.
Episode on podcast ‘Developer Weekly’
Talking on the Developer Weekly podcast about data science. We get into what data science is, what a data scientist does all day, what tools they use and also touch on services in Azure that you can use for data science.
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?