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Episode 09: Drew Linsley, Brown, on inductive biases for vision and generalization

Generally Intelligent

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Balancing Theory and Practice in Machine Learning

This chapter explores the complexities of merging insights from different fields to enhance machine learning solutions. It emphasizes the balance between innovative theoretical approaches and the critical need for empirical validation against cutting-edge technologies.

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