{"href":"http://player.captivate.fm/services/oembed?url=http%3A%2F%2Fplayer.captivate.fm%2Fepisode%2F44cc4d1d-03cf-4d90-8e8f-62fa7cb811b2","version":"1.0","provider_name":"Captivate.FM","provider_url":"https://www.captivate.fm","width":600,"height":200,"type":"rich","html":"<iframe style=\"width: 100%; height: 200px;\" title=\"Shreya Shankar: Lessons learned after a year of putting ML into production\" frameborder=\"0\" scrolling=\"no\" allow=\"clipboard-write\" seamless src=\"http://player.captivate.fm/episode/44cc4d1d-03cf-4d90-8e8f-62fa7cb811b2\"></iframe>","title":"Shreya Shankar: Lessons learned after a year of putting ML into production","description":"Shreya discusses what she's learned in the past year about making ML useful by putting into production. She touches on strategies for ensuring reproducibility, feature engineering best practices, and her checklist for building AI-driven systems.","thumbnail_width":300,"thumbnail_height":300,"thumbnail_url":"https://artwork.captivate.fm/e5661951-f6fb-49f4-9d5d-d5f609d1b5f7/l76jz5xgydyhgel4vmq-9hje.png"}