Nikki van Ommeren & Maike Fischer - Productionizing an unsupervised machine learning model to...

Productionizing an unsupervised machine learning model to understand customer feedback | PyData Eindhoven 2020

Have you ever had to read through over 5,000 open-text feedback responses a month?

Our colleagues at ING do this all the time, spending multiple hours each week. This is why we developed an unsupervised machine learning model that clusters customer feedback with similar meaning using open-source Python libraries.

===
www.pydata.org

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps

Видео Nikki van Ommeren & Maike Fischer - Productionizing an unsupervised machine learning model to... канала PyData