Phil Winder's guest appearances

Phil Winder

The InfoQ Podcast

MLOps.community 

GOTO - Today, Tomorrow and the Future

Zhamak Dehghani

Sam Newman

Bernd Rücker

Lynn Langit

Simon Brown

Liz Rice

Asim Hussain

Piero Molino

Nora Jones

Richard Feldman

Emmanuel Ameisen

Martin Fowler

Luca Mezzalira

Vaughn Vernon

Byron Allen

OwlTail

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubPhil Winder - Author of "Reinforcement Learning" &amp; CEO of Winder ResearchRebecca Nugent - Stephen E. and Joyce Fienberg Professor of Statistics &amp; Data Science at Carnegie Mellon UniversityDESCRIPTIONReinforcement 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 &amp; 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/3t1S1VZRead the full transcription of the interview here:https://gotopia.tech/bookclub/episodes/how-to-leverage-reinforcement-learningRECOMMENDED BOOKPhil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZhttps://twitter.com/GOTOconhttps://www.linkedin.com/company/goto-https://www.facebook.com/GOTOConferencesLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket at https://gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted almost daily.https://www.youtube.com/user/GotoConferences/?sub_confirmation=1TwitterLinkedInFacebookLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted almost daily

This interview was recorded for the GOTO Book Club. http://gotopia.tech/bookclub Phil Winder - Author of "Reinforcement Learning" &amp; CEO of Winder Research Rebecca Nugent - Stephen E. and Joyce Fienberg Professor of Statistics &amp; 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 &amp; 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": <a href="https://amzn.to/3t1S1VZ" rel="nofollow" target="_blank">https://amzn.to/3t1S1VZ</a> Read the full transcription of the interview here: https://gotopia.tech/bookclub/episodes/how-to-leverage-reinforcement-learning RECOMMENDED BOOK Phil Winder • Reinforcement Learning • <a href="https://amzn.to/3t1S1VZ" rel="nofollow" target="_blank">https://amzn.to/3t1S1VZ</a> <a href="https://twitter.com/GOTOcon" rel="nofollow" target="_blank">https://twitter.com/GOTOcon</a> <a href="https://www.linkedin.com/company/goto-" rel="nofollow" target="_blank">https://www.linkedin.com/company/goto-</a> <a href="https://www.facebook.com/GOTOConferences" rel="nofollow" target="_blank">https://www.facebook.com/GOTOConferences</a> Looking for a unique learning experience? Attend the next GOTO conference near you! Get your ticket at https://gotopia.tech SUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted almost daily. <a href="https://www.youtube.com/user/GotoConferences/?sub_confirmation=1" rel="nofollow" target="_blank">https://www.youtube.com/user/GotoConferences/?sub_confirmation=1</a><a href="https://twitter.com/GOTOcon" rel="nofollow" target="_blank">Twitter</a> <a href="https://www.linkedin.com/company/goto-" rel="nofollow" target="_blank">LinkedIn</a> <a href="https://www.facebook.com/GOTOConferences" rel="nofollow" target="_blank">Facebook</a> Looking for a unique learning experience? Attend the next GOTO conference near you! Get your ticket: <a href="https://gotopia.tech" rel="nofollow" target="_blank">gotopia.tech</a> <a href="https://www.youtube.com/user/GotoConferences/?sub_confirmation=1" rel="nofollow" target="_blank">SUBSCRIBE TO OUR YOUTUBE CHANNEL</a> - new videos posted almost daily

How to Leverage Reinforcement Learning • Phil Winder & Rebecca Nugent

In this episode of the InfoQ podcast Dr Phil Winder, CEO of Winder Research, sits down with InfoQ podcast co-host Charles Humble. They discuss: the history of Reinforcement Learning (RL); the application of RL in fields such as robotics and content discovery; scaling RL models and running them in production; and ethical considerations for RL.Read a transcript of this interview:  https://bit.ly/3uylAPzSubscribe to our newsletters:- The InfoQ weekly newsletter: bit.ly/24x3IVq- The Software Architects’ Newsletter [monthly]: www.infoq.com/software-architects-newsletter/Upcoming Virtual Events - https://events.infoq.com/InfoQ Live: https://live.infoq.com/- March 16, 2021- April 13, 2021- June 22, 2021- July 20, 2021QCon Plus: https://plus.qconferences.com/- May 17-28, 2021Follow InfoQ:- Twitter: twitter.com/InfoQ- LinkedIn: www.linkedin.com/company/infoq- Facebook: bit.ly/2jmlyG8- Instagram: @infoqdotcom- Youtube: www.youtube.com/infoq

In this episode of the InfoQ podcast Dr Phil Winder, CEO of Winder Research, sits down with InfoQ podcast co-host Charles Humble. They discuss: the history of Reinforcement Learning (RL); the application of RL in fields such as robotics and content discovery; scaling RL models and running them in production; and ethical considerations for RL. Read a transcript of this interview: <a href="https://bit.ly/3uylAPz" rel="nofollow" target="_blank">https://bit.ly/3uylAPz</a> Subscribe to our newsletters: - The InfoQ weekly newsletter: <a href="http://bit.ly/24x3IVq" rel="nofollow" target="_blank">bit.ly/24x3IVq</a> - The Software Architects’ Newsletter [monthly]: <a href="http://www.infoq.com/software-architects-newsletter/" rel="nofollow" target="_blank">www.infoq.com/software-architects-newsletter/</a> Upcoming Virtual Events - <a href="https://events.infoq.com/" rel="nofollow" target="_blank">https://events.infoq.com/</a> InfoQ Live: <a href="https://live.infoq.com/" rel="nofollow" target="_blank">https://live.infoq.com/</a> - March 16, 2021 - April 13, 2021 - June 22, 2021 - July 20, 2021 QCon Plus: <a href="https://plus.qconferences.com/" rel="nofollow" target="_blank">https://plus.qconferences.com/</a> - May 17-28, 2021 Follow InfoQ: - Twitter: <a href="http://twitter.com/InfoQ" rel="nofollow" target="_blank">twitter.com/InfoQ</a> - LinkedIn: <a href="http://www.linkedin.com/company/infoq" rel="nofollow" target="_blank">www.linkedin.com/company/infoq</a> - Facebook: <a href="http://bit.ly/2jmlyG8" rel="nofollow" target="_blank">bit.ly/2jmlyG8</a> - Instagram: @infoqdotcom - Youtube: <a href="http://www.youtube.com/infoq" rel="nofollow" target="_blank">www.youtube.com/infoq</a>

Phil Winder on the History, Practical Application, and Ethics of Reinforcement Learning

MLOps community meetup #3! Last Wednesday we talked to Phil Winder, CEO, Winder Research.  //Abstract Phil Winder of Winder Research joined us for the 3rd instalment of our MLOps community meetup. In this clip taken from the long conversation, he speaks about why or why not he sees companies automating the retraining of Machine Learning Models. You can find the whole conversation here: https://www.youtube.com/watch?v=MRES5IxVnME The topic of conversation for our virtual meetup was an in-depth look at a pyramid of software engineering best practices that built up to incorporate data science best practices. That is to say, we analyzed “the essentials”, "nice to have" and "optimal" ways of doing data science.  Machine Learning/Data Science/AI is an extension of the technical stack. So you can't really talk about Data science best practices without accidentally talking about software engineering best practices. For example, model provenance doesn't count for anything if you don't have code or container provenance.  Just as Maslow has the basic human needs so too do we have basic MLOps needs. Where does "MLOps", as a "thing", starts and end? For example, the four very reasonable best practices of the operation of models, but these are usually consumed into higher-level abstractions because there is a lot more to do than "just" provenance.    //Bio Dr Phil Winder is a multidisciplinary software engineer and data scientist. As the CEO of Winder Research, a Cloud-Native data science consultancy, he helps startups and enterprises improve their data-based processes, platforms, and products. Phil specializes in implementing production-grade cloud-native machine learning and was an early champion of the MLOps movement. More recently, Phil has authored a book on Reinforcement Learning (RL) (https://rl-book.com) which provides an in-depth introduction of industrial RL to engineers.  He has thrilled thousands of engineers with his data science training courses in public, private, and on the O’Reilly online learning platform. Phil’s courses focus on using data science in industry and cover a wide range of hot yet practical topics, from cleaning data to deep reinforcement learning. He is a regular speaker and is active in the data science community.  Phil holds a PhD and M.Eng. in electronic engineering from the University of Hull and lives in Yorkshire, U.K., with his brewing equipment and family. //This was a virtual fireside chat between Phil Winder and Demetrios Brinkmann. relevant links can be found below:  Join our MLOps slack community: https://bit.ly/3aOTwgR Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Phil on LinkedIn: https://www.linkedin.com/in/drphilwinder/ Follow Phil on Twitter: https://twitter.com/DrPhilWinder  Learn more about Phil's company Winder research: https://winderresearch.com/

MLOps community meetup #3! Last Wednesday we talked to Phil Winder, CEO, Winder Research. //Abstract Phil Winder of Winder Research joined us for the 3rd instalment of our MLOps community meetup. In this clip taken from the long conversation, he speaks about why or why not he sees companies automating the retraining of Machine Learning Models. You can find the whole conversation here: <a href="https://www.youtube.com/watch?v=MRES5IxVnME" rel="nofollow" target="_blank">https://www.youtube.com/watch?v=MRES5IxVnME</a> The topic of conversation for our virtual meetup was an in-depth look at a pyramid of software engineering best practices that built up to incorporate data science best practices. That is to say, we analyzed “the essentials”, "nice to have" and "optimal" ways of doing data science.  Machine Learning/Data Science/AI is an extension of the technical stack. So you can't really talk about Data science best practices without accidentally talking about software engineering best practices. For example, model provenance doesn't count for anything if you don't have code or container provenance.  Just as Maslow has the basic human needs so too do we have basic MLOps needs. Where does "MLOps", as a "thing", starts and end? For example, the four very reasonable best practices of the operation of models, but these are usually consumed into higher-level abstractions because there is a lot more to do than "just" provenance.   //Bio Dr Phil Winder is a multidisciplinary software engineer and data scientist. As the CEO of Winder Research, a Cloud-Native data science consultancy, he helps startups and enterprises improve their data-based processes, platforms, and products. Phil specializes in implementing production-grade cloud-native machine learning and was an early champion of the MLOps movement. More recently, Phil has authored a book on Reinforcement Learning (RL) (<a href="https://rl-book.com" rel="nofollow" target="_blank">https://rl-book.com</a>) which provides an in-depth introduction of industrial RL to engineers.  He has thrilled thousands of engineers with his data science training courses in public, private, and on the O’Reilly online learning platform. Phil’s courses focus on using data science in industry and cover a wide range of hot yet practical topics, from cleaning data to deep reinforcement learning. He is a regular speaker and is active in the data science community.  Phil holds a PhD and M.Eng. in electronic engineering from the University of Hull and lives in Yorkshire, U.K., with his brewing equipment and family. //This was a virtual fireside chat between Phil Winder and Demetrios Brinkmann. relevant links can be found below: Join our MLOps slack community: <a href="https://bit.ly/3aOTwgR" rel="nofollow" target="_blank">https://bit.ly/3aOTwgR</a> Connect with Demetrios on LinkedIn: <a href="https://www.linkedin.com/in/dpbrinkm/" rel="nofollow" target="_blank">https://www.linkedin.com/in/dpbrinkm/</a> Connect with Phil on LinkedIn: <a href="https://www.linkedin.com/in/drphilwinder/" rel="nofollow" target="_blank">https://www.linkedin.com/in/drphilwinder/</a> Follow Phil on Twitter: <a href="https://twitter.com/DrPhilWinder" rel="nofollow" target="_blank">https://twitter.com/DrPhilWinder</a> Learn more about Phil's company Winder research: <a href="https://winderresearch.com/" rel="nofollow" target="_blank">https://winderresearch.com/</a>

Hierarchy of Machine Learning Needs // Phil Winder // MLOps Meetup #3