Adventures in Machine Learning

Automated Machine Learning with Qingquan Song - ML 030

05.13.2021 - By Charles M WoodPlay

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Qingquan Song is a member of the AutoKeras team and recent Phd graduate from Texas A&M; University. He co-authored the Automated Machine Learning book from Manning publishing and joins the adventure to explain automated machine learning and how it can be used to set up and to refine machine learning models. He also dives into how to use the tools that exist to take advantage of the techniques it offers. Panel Charles Max Wood Guest Qingquan Song Sponsors Dev Influencers Accelerator Links Automated Machine Learning in ActionHaifeng Jin's BlogXia Ben Hu, Texas A&M; UniversityAutoKerasAbout me - Qingquan SongLinkedIn: Qingquan Song Picks Charles- Who Not HowCharles- Ruby Rogues | Devchat.tvCharles- Encourage people to have empathyQingquan- Working as a team is better than working individuallyQingquan- Focus on one thing at a timeQingquan- "Work hard and Play Harder"Qingquan- Learn from othersAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

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