Webinar: innovate with MSFT AI Webinar: innovate with MSFT AI Keynote presentation about AI recorded in the MSFT Studio. What is AI and what are use cases around industries?
WiDS talk: Data Science in the real world WiDS talk: Data Science in the real world Presentation and live Q+A at the Women in Data Science Brussels edition, about ‘Data Science in the Real world: challenges and opportunities’.
Machine Learning Street Talk: Autonomous Learning Machine Learning Street Talk: Autonomous Learning Machine Learning Street Talk about autonomous learning and Project Bonsai.
“How do I become a data scientist?” “How do I become a data scientist?” The #1 question people ask me is “How do I become a data scientist?”. So 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 within the field.
Podcast on Developer Weekly Podcast on Developer Weekly Developer Weekly invited me for their podcast to talk about data science.
Review of DataCamp: ‘Python Programmer’ Review of DataCamp: ‘Python Programmer’ “Where can I start learning about data science?” is a question that I get at least once a week. I’ve been wanting to get my hands dirty again, and I will review DataCamp’s ‘Python Programmer’.
the Future of data science is software engineering Featured 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 Digging into MLops: how it can help getting your machine learning models into production
Algorithm bias is the design problem of the 21st century Algorithm bias is the design problem of the 21st century
Megan Bloemsma 