Eugene Ciurana - Particle Swarm Classification for Next-Gen Recommendation Engines скачать в хорошем качестве

Eugene Ciurana - Particle Swarm Classification for Next-Gen Recommendation Engines

www.pydata.org Case study that describes how a scrappy science and engineering team built an optimal recommendations engine for consumer banking and FinTech mobile app users. The engine produces high-response, tailored end-user results from anonymized and incomplete data, the application of quantum particle swarm optimization techniques, and by leveraging a homegrown knowledge representation graph. 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/YouTubeVi...