Chris Albon — ML Models and Infrastructure at Wikimedia
In this episode we're joined by Chris Albon, Director of Machine Learning at the Wikimedia Foundation.
Lukas and Chris talk about Wikimedia's approach to content moderation, what it's like to work in a place so transparent that even internal chats are public, how Wikimedia uses machine learning (spoiler: they do a lot of models to help editors), and why they're switching to Kubeflow and Docker. Chris also shares how his focus on outcomes has shaped his career and his approach to technical interviews.
Show notes: http://wandb.me/gd-chris-albon
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Connect with Chris:
- Twitter: https://twitter.com/chrisalbon
- Website: https://chrisalbon.com/
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Timestamps:
0:00 Intro
1:08 How Wikimedia approaches moderation
9:55 Working in the open and embracing humility
16:08 Going down Wikipedia rabbit holes
20:03 How Wikimedia uses machine learning
27:38 Wikimedia's ML infrastructure
42:56 How Chris got into machine learning
46:43 Machine Learning Flashcards and technical interviews
52:10 Low-power models and MLOps
55:58 Outro
Interview with Chris Albon (Part 3 of 3)
In today's episode, I interview Chris Albon, co-host of Partially Derivative, a fantastic casual discussion podcast about all things data science. Chris is joined by Vidya Spandana and Jonathon Morgan on the show. We discuss the exciting prospects of machine learning and data science in this three part interview!
Partially Derivative
Chris's personal site
SciKit Learn
Today's episode is brought to you by Linode. Linode Provides superfast SSD based Linux servers in the cloud starting at $10 a month. Linode is offering Developer Tea listeners $20 worth of credit if you use the code DEVELOPERTEA2017 at checkout. Head over to spec.fm/linode to learn more about what Linode has to offer to Developer Tea listeners .
Interview with Chris Albon (Part 2 of 3)
In today's episode, I interview Chris Albon, co-host of Partially Derivative, a fantastic casual discussion podcast about all things data science. Chris is joined by Vidya Spandana and Jonathon Morgan on the show. We discuss the exciting prospects of machine learning and data science in this three part interview!
Partially Derivative
Chris's personal site
SciKit Learn
Today's episode is sponsored by Fuse! Build native iOS and Android apps with less code and better collaboration. Head over to spec.fm/fuse to learn more today!
Interview with Chris Albon (Part 1 of 3)
In today's episode, I interview Chris Albon, co-host of Partially Derivative, a fantastic casual discussion podcast about all things data science. Chris is joined by Vidya Spandana and Jonathon Morgan on the show. We discuss the exciting prospects of machine learning and data science in this three part interview!
Partially Derivative
Chris's personal site
SciKit Learn
Today's episode is sponsored by Fuse! Build native iOS and Android apps with less code and better collaboration. Head over to spec.fm/fuse to learn more today!