Pascal Tomecek - Leveraging CSP for Live Inference | PyData Global 2024

Pascal Tomecek - Leveraging CSP for Live Inference | PyData Global 2024

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Pascal Tomecek - Leveraging CSP for Live Inference | PyData Global 2024
www.pydata.org CSP is a newly open-sourced library for stream processing in Python. In this talk, we discuss how CSP can be leveraged to handle all stages of an online machine learning pipeline from feature generation to live training and inference 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