
Disentangled Representations & Google Research Football with Olivier Bachem - TWIML Talk #293
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Exploring Large-Scale Clustering Techniques and Innovations
This chapter explores the speaker's expertise in large-scale clustering developed during their PhD at DTH Zurich. Key discussions include the creation of core sets for efficient algorithm training and improvements to the k-means++ algorithm, highlighting the significance of representative sampling in machine learning.
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