Podcasts

Carin Meier Using Machine Learning to Combat Major Illnesses, Such as the Coronavirus

Carin Meier of Reify Health sits down with Wesley Reisz and discusses how machine learning is being used to combat major illnesses (such as the coronavirus). After a short discussion on some of the work being done today, the two shift into a discussion on the challenges of working with healthcare data and machine learning. Topics around safety, ethics, and explainability are discussed.

Josh Wills on Building Resilient Data Engineering and Machine Learning Products at Slack

Josh Wills, a software engineer working on data engineering problems at Slack, discusses the Slack data architecture and how they build and observe their pipelines.

Victor Dibia on TensorFlow.js and Building Machine Learning Models with JavaScript

Victor Dibia is a research engineer with Cloudera’s Fast Forward Labs. On today’s podcast, Wes Reisz and Victor Dibia talk about the realities of building machine learning in the browser. The two discuss the capabilities, limitations, process, and realities around using TensorFlow.js.

Bryan Cantrill on Rust and Why He Feels It’s The Biggest Change in Systems Development in His Career

Today on the podcast, Bryan Cantrill discusses with Wes Reisz a bit about the origins of DTrace and then spends the rest of the time discussing why he feels Rust is the “biggest development in systems development in his career.”

Katharine Jarmul and Ethical Machine Learning

Today on The InfoQ Podcast, Wes talks with Katharine Jarmul about privacy and fairness in machine learning algorithms. Jarmul discusses what’s meant by Ethical Machine Learning and some things to consider when working towards achieving fairness. Jarmul is the co-founder at KIProtect, a machine learning security and privacy firm based in Germany, and is one of the three keynote speakers at QCon.ai.