How to Bring Machine Learning Education to the Workplace

In the last two years our curriculum has grown three x Um, which is a really big increase in in a short period of time. And we expect it to be uh increasing even more this year. Emmanuel Mason machine learning engineer as stripe and author of building machine learning powered applications. If you don't want your machine learning models to explode well, you should subscribe to this podcast.

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MLOps Coffee Sessions #156 with Melissa Barr & Michael Mui, Machine Learning Education at Uber, co-hosted by Lina Weichbrodt.

// Abstract

Melissa and Michael discuss the education program they developed for Uber's machine learning platform service, Michelangelo, during a guest appearance on a podcast. The program teaches employees how to use machine learning both in general and specifically for Uber. The platform team can obtain valuable feedback from users and use it to enhance the platform. The course was designed using engineering principles, making it applicable to other products as well.

// Bio

Melissa Barr

Melissa is a Technical Program Manager for ML & AI at Uber. She is based in New York City. She drives projects across Uber’s ML platform, delivery, and personalization teams. She also built out the first version of the ML Education Program in 2021.

Michael Mui

Michael is a Staff Technical Lead Manager on Uber AI's Machine Learning Platform team. He leads the Distributed ML Training team, which focuses on building elastic, scalable, and fault-tolerant distributed machine learning libraries and systems used to power machine learning development productivity across Uber. He also co-leads Uber’s internal ML Education initiatives. Outside of Uber, Michael also teaches ML at the Parsons School of Design in NYC as an Adjunct Faculty (mostly for the museum passes!) and guest lectures at the University of California, Berkeley.

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// Related Links

https://www.uber.com/blog/ml-education-at-uber-program-design-and-outcomes

/https://www.uber.com/blog/ml-education-at-uber/

https://www.uber.com/en-PH/blog/ml-education-at-uber/

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