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Machine Learning at Scale
Recorded at:

| by Aditya Kalro on Apr 18, 2017 |
21:07

Summary
Aditya Kalro discusses using large-scale data for Machine Learning (ML) research and some of the tools Facebook uses to manage the entire process of training, testing, and deploying ML models.

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Bio

Aditya Kalro is Engineering Manager on the CoreML Infra team at Facebook building FB's internal cloud for Machine Learning training. FBLearner is used by hundreds of engineers and ML practitioners to build ML training pipelines. Currently we train tens of thousands of models every week for more than fifty teams in Facebook including Feed, Ads, Instagram and Search.

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