This interview was recorded for the GOTO Book Club.
Phil Winder - Author of "Reinforcement Learning" & CEO of Winder Research
Rebecca Nugent - Stephen E. and Joyce Fienberg Professor of Statistics & Data Science at Carnegie Mellon University
Reinforcement learning (RL) focuses on sequential decision making and it is significantly different from machine learning. The recommendations based on RL algorithms could help you attain your business goals faster while also increasing engagement.
Join Phil Winder, Author of "Reinforcement Learning" and CEO of Winder Research, while he is talking with Rebecca Nugent, Fienberg Professor of Statistics & Data Science at Carnegie Mellon University, about key concepts from reinforcement learning and reveals the industry applications while also focusing on why some of the fundamentals like “ problem definition”, “how to get started with RL” and the switch in risk-taking from the management level to the engineering department while software is shaping the heart of the business.
The interview is based on Phil's book "Reinforcement Learning": https://amzn.to/3t1S1VZ
Read the full transcription of the interview here:
Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ
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