Responsible AI: what is it, why should you care and open source toolkits.

Presenting at the WiDS group about ‘Data Science in the Real World’.

Guest on ‘Machine Learning Street Talk’ channel about autonomous learning.

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.

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.

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.

What is MLops? And how can it help data science departments facing issues getting their machine learning models into production?

We are placing more trust in AI and its algorithms. But how do we deal with algorithmic bias and what are the consequences?