Could something like measurement, which seems boring on the surface, actually be the secret to getting value from machine learning? Measurement isn’t always what you think it is. Great product developers and applied machine learning practitioners are finding creative ways to incorporate it as part of their feedback loops and machine learning products. In this episode, Kathryn Hume talks with Danny Lange, the VP of and Machine Learning at Unity Technologies. In addition to discussing the role of measurement in putting reinforcement learning systems into production, they also dive into why gaming is an excellent simulation ground for the some of the most exciting developments in applied machine learning and reinforcement learning research. 

You’ll learn about:
•	What reinforcement learning is and how it works
•	How to overcome the challenges of getting great labeled data
•	The important role of measurement in reinforcement learning
•	Exploring counterfactuals within the context of reinforcement learning
•	Working on machine learning in the gaming industry

Episode 11: The Reinforcement Learning Game with Danny Lange

Are we currently experiencing a deep transformation in the concept of software unlike anything we’ve seen in the past 30 years? Peter Wang, the Co-Founder and CTO of Anaconda, the world’s most popular Python data science platform, thinks so. In this episode of In Context, he joins Kathryn Hume for a discussion of data-centric computing and how the data and operations that enable software are moving closer together.

You’ll learn about: 

•	How data and operations are moving closer together
•	The implications of this data-centric computing for data scientists and businesses alike

Episode 13: The Transformation of Software with Peter Wang

Episode 12: The Transformation of Software with Peter Wang

A podcast exploring the latest developments in Artificial Intelligence, within the context of the personal biographies, motivations, world views and beliefs of the leading researchers, practitioners, and entrepreneurs in the field.