Podknife - Best of ML Engineered in 2020 Part 1 - ML Engineering by Machine Learning Engineered

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Best of ML Engineered in 2020 Part 1 - ML Engineering

Podcast |: Machine Learning Engineered
Publisher |: Charlie You
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Careers,; Data Science,; Interview,; Machine Learning,; Technology
Categories Via RSS |: Business,; Careers,; Science,; Technology
Publication Date |: Jan 05, 2021
Episode Duration |: 01:13:10

Description
iTunes Summary

Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletter

Follow Charlie on Twitter: https://twitter.com/CharlieYouAI

Subscribe to ML Engineered: https://mlengineered.com/listen

Comments? Questions? Submit them here: http://bit.ly/mle-survey

Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/

Timestamps:

02:50 Josh Tobin: Research at OpenAI, Full Stack Deep Learning, ML in Production

21:48 Shreya Shankar: Lessons learned after a year of putting ML into production

34:44 Luigi Patruno: ML in Production, Adding Business Value with Data Science, "Code 2.0"

53:28 Music Information Retrieval at Spotify and the Future of ML Tooling with Andreas Jansson of Replicate

My favorite clips from interviews with Josh Tobin, Shreya Shankar, Luigi Patruno, and Andreas Jansson on the topic of ML Engineering

Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletter

Follow Charlie on Twitter: https://twitter.com/CharlieYouAI

Subscribe to ML Engineered: https://mlengineered.com/listen

Comments? Questions? Submit them here: http://bit.ly/mle-survey

Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/

Timestamps:

02:50 Josh Tobin: Research at OpenAI, Full Stack Deep Learning, ML in Production

21:48 Shreya Shankar: Lessons learned after a year of putting ML into production

34:44 Luigi Patruno: ML in Production, Adding Business Value with Data Science, "Code 2.0"

53:28 Music Information Retrieval at Spotify and the Future of ML Tooling with Andreas Jansson of Replicate

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