Software Engineering Radio is a podcast targeted at the professional software developer. The goal is to be a lasting educational resource, not a newscast. SE Radio covers all topics software engineering. Episodes are either tutorials on a specific topic, or an interview with a well-known character from the software engineering world. All SE Radio episodes are original content — we do not record conferences or talks given in other venues. Each episode comprises two speakers to ensure a lively listening experience. SE Radio is brought to you by the IEEE Computer Society and IEEE Software magazine.
SE-Radio Episode 305: Charlie Berger on Predictive Applications
Edaena Salinas talks with Charlie Berger about Predictive Applications. The discussion begins with an overview of how to build a Predictive Application and the role of Machine Learning. It then explores different Machine Learning algorithms that can be implemented natively in a database.