
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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Disentangling Machine Learning Representations
This chapter explores the complexities of disentangled representations in machine learning, emphasizing their significance in high-dimensional data analysis. It also highlights the speaker's unique journey to a PhD and contributions at Google Brain, shedding light on the challenges and implications of model selection in unsupervised settings.
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