Podcast: Trustworthy ML with Kush Varshney
April 14, 2022 - Alex Strick van Linschoten
This week I spoke with Kush Varshney, author of 'Trustworthy Machine Learning', a fantastic guide and overview of all of the different ways machine learning can go wrong and an optimistic take on how to think about addressing those issues.
Podcast: Practical Production ML with Emmanuel Ameisen
March 18, 2022 - Alex Strick van Linschoten
This week I spoke with Emmanuel Ameisen, a data scientist and ML engineer currently based at Stripe. Emmanuel also wrote an excellent O'Reilly book called 'Building Machine Learning Powered Applications', a book I find myself often returning to for inspiration and that I was pleased to get the chance to reread in preparation for our discussion.
Podcast: From Academia to Industry with Johnny Greco
March 3, 2022 - Alex Strick van Linschoten
This week I spoke with Johnny Greco, a data scientist working at Radiology Partners. Johnny transitioned into his current work from a career as an academic — working in astronomy — where also worked in the open-source space to build a really interesting synthetic image data project.
Podcast: The Modern Data Stack with Tristan Zajonc
February 10, 2022 - Alex Strick van Linschoten
Tristan and Alex discuss where machine learning and AI are headed in terms of the tooling landscape. Tristan outlined a vision of a higher abstraction level, something he's working on making a reality as CEO at Continual.
Podcast: Neurosymbolic AI with Mohan Mahadevan
January 27, 2022 - Alex Strick van Linschoten
Mohan and Alex discuss neurosymbolic AI and the implications of a shift towards that as a core paradigm for production AI systems. In particular, we discuss the practical consequences of such a shift, both in terms of team composition as well as infrastructure requirements.
