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Gradient Dissent: Conversations on AI

Amelia & Filip — How Pandora Deploys ML Models into Production

41 min1 juli 2021

Amelia and Filip give insights into the recommender systems powering Pandora, from developing models to balancing effectiveness and efficiency in production.

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Amelia Nybakke is a Software Engineer at Pandora. Her team is responsible for the production system that serves models to listeners.

Filip Korzeniowski is a Senior Scientist at Pandora working on recommender systems. Before that, he was a PhD student working on deep neural networks for acoustic and language modeling applied to musical audio recordings.


Connect with Amelia and Filip:

📍 Amelia's LinkedIn: https://www.linkedin.com/in/amelia-nybakke-60bba5107/

📍 Filip's LinkedIn: https://www.linkedin.com/in/filip-korzeniowski-28b33815a/


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⏳ Timestamps:

0:00 Sneak peek, intro

0:42 What type of ML models are at Pandora?

3:39 What makes two songs similar or not similar?

7:33 Improving models and A/B testing

8:52 Chaining, retraining, versioning, and tracking models

13:29 Useful development tools

15:10 Debugging models

18:28 Communicating progress

20:33 Tuning and improving models

23:08 How Pandora puts models into production

29:45 Bias in ML models

36:01 Repetition vs novelty in recommended songs

38:01 The bottlenecks of deployment


🌟 Transcript: http://wandb.me/gd-amelia-and-filip 🌟


Links:

📍 Amelia's "Women's History Month" playlist: https://www.pandora.com/playlist/PL:1407374934299927:100514833


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