This interview was recorded for the GOTO Book Club. #GOTOcon #GOTOBookClub http://gotopia.tech/bookclub Phil Winder - Author of "Reinforcement Learning" & CEO of Winder Research @philwinder263 Rebecca Nugent - Stephen E. and Joyce Fienberg Professor of Statistics & Data Science at Carnegie Mellon University DESCRIPTION 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 TIMECODES 00:00 Intro 01:25 Introduction of Rebecca & Phil 01:57 Reinforcement learning (RL) vs machine learning (ML) 05:20 Key terminology for RL 12:44 RL in education 20:35 What kind of industry applications is RL best suited for? 26:19 Can we apply RL to long-term strategies? 30:49 Are the people running the algorithms, running the company? 35:54 RL and people 40:45 Problem definition and RL 44:35 The book 52:15 What excites you the most about RL? 55:18 What are the challenges with the interpretability of RL results? 01:04:54 Applying RL algorithms to real life 01:11:42 Thank you and goodbye Rebecca & Phil 01:12:55 Takeaways 01:13:35 Outro Read the full transcription of the interview here: https://gotopia.tech/bookclub/episodes/how-to-leverage-reinforcement-learning RECOMMENDED BOOKS Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ Holden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning • https://amzn.to/3JVngcx Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRg Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • https://amzn.to/2ZD7t0x Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision • https://amzn.to/3m9HNjP Aurélien Géron • Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow • https://amzn.to/2XZaQy8 https://twitter.com/GOTOcon https://www.linkedin.com/company/goto- https://www.instagram.com/goto_con https://www.facebook.com/GOTOConferences #ReinforcementLearning #RL #AI #ML #Programming #ArtificialIntelligence #MachineLearning #DataScience #PhilWinder #RebeccaNugent #CarnegieMellon CHANNEL MEMBERSHIP BONUS Join this channel to get early access to videos & other perks: https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/join Looking for a unique learning experience? Attend the next GOTO conference near you! Get your ticket at https://gotopia.tech Sign up for updates and specials at https://gotopia.tech/newsletter SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily. https://www.youtube.com/user/GotoConferences/?sub_confirmation=1
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