Antonio Feregrino - Generating embeddings for Yu-Gi-Oh Cards with NumPy | PyData London 2024

www.pydata.org
Dive into the methodology of building a concurrence matrix to produce dense representations of cards, which pave the way for other, more interesting tasks such as recommendation systems. This session offers a blend of web scraping, clever coding practises and numpy's computational prowess, culminating in an illustrative card recommendation example.
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[@feregri_no]

It was an amazing experience, here are some timestamps: 00:00 Introduction 02:03 What is Yu-Gi-Oh! 03:47 The problem of recommendation 04:35 Embeddings 07:33 How can we create embeddings? 08:31 Using card decks to create embeddings 09:57 Data sources (YGOPRODeck) 12:11 Data processing 14:12 Getting dense vectors 14:48 Singular Value Decomposition 17:52 SVD using Python 20:51 Using our embeddings in queries 22:37 Live Demo 26:02 Conclusions

[@altvaro]

grande Feregrino 🙌

[@feregri_no]

¡Saludos!

[@LucelDaSilva]

It's time to dueel🎉🎉🎉