PyData London 2024

Antonio Feregrino

I am an MLOps engineer at Simply Business; before that I worked as a data scientist for a market intelligence company and as a software developer creating web and mobile apps for insurance companies.

I hold a Masters Degree in Data Science and I also run a 17K subscriber YouTube channel about programming, machine learning and data science.

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Sessions

06-16
15:00
40min
Generating embeddings for Yu-Gi-Oh Cards: A NumPy Approach to Represent Complex Data
Antonio Feregrino

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.

Minories