Klaviyo Data Science Podcast EP 26 | NLP: Foundations and History

Klaviyo Data Science Podcast

Klaviyo Data Science Team에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Klaviyo Data Science Team 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

3y ago 49:52

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Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…

What’s the deal with natural language?

Natural language processing, or NLP, is one of the dominant forces in modern data science, and it’s produced a host of data science-powered products many people take for granted as a basic fact of life. It hasn’t always been so powerful or pervasive, though — NLP has a long and interesting history, and some of the advances powering today’s technology would have seemed like science fiction only decades ago. This month, we dive into the history and foundations of NLP, examining:

Why natural languages are so difficult to work with in the first place
Early attempts by mathematicians and data scientists to use natural languages, and why they failed
What distinguishes today’s cutting edge models and allows them to succeed

“Language is the natural medium for humans to communicate in. So if you want to build a really immersive, interesting product, for especially non-data scientists to interact with, it almost has to involve NLP.”

- Robert Huselid, Data Scientist

See the full show notes, including resources to learn more, on Medium.

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