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Machine Learning at Scale
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| by Aditya Kalro Follow 0 Followers on Apr 18, 2017 |

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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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.

Global Big Data Conference's vendor agnostic Global Artificial Intelligence(AI) Conference is held on January 19th, January 20th, & January 21st 2017 on all industry verticals(Finance, Retail/E-Commerce/M-Commerce, Healthcare/Pharma/BioTech, Energy, Education, Insurance, Manufacturing, Telco, Auto, Hi-Tech, Media, Agriculture, Chemical, Government, Transportation etc.. ). It will be the largest vendor agnostic conference in AI space. The Conference allows practitioners to discuss AI through effective use of various techniques.

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