機械å¦ç¿’システム開発プãƒã‚¸ã‚§ã‚¯ãƒˆã®äºˆç®—・予定・人情 / Budget, schedule and humanity of ML system dev PJ
2019.4.10ã«è¡Œã‚ã‚ŒãŸAWSã®ã‚¤ãƒ™ãƒ³ãƒˆ"ML@Loft" ã§ã®ç™»å£‡ã‚¹ãƒ©ã‚¤ãƒ‰ã§ã™ã€‚ https://awsmlatloft20190410tokyo.splashthat.com/ ã“ã¡ã‚‰ã®ã‚¹ãƒ©ã‚¤ãƒ‰â†“ã§è©±ã—ãã‚Œãªã‹ã£ãŸéƒ¨åˆ†ã‚’ã¾ã¨ã‚ãŸå†…容ã§ã™ã€‚ https://speakerdeck.com/ysdyt/to-incorporate-deep-learning-into-actual-operation-system
Introducing DeepText: Facebook’s text understanding engine
Text is a prevalent form of communication on Facebook. Understanding the various ways text is used on Facebook can help us improve people's experiences with our products, whether we're surfacing more of the content that people want to see or filtering out undesirable content like spam. With this goal in mind, we built DeepText, a deep learning-based text understanding engine that can understand wi
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