Nonuniform Learnability and Structural Risk Minimization

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Explores deep and convolutional networks, covering generalization, optimization, and practical applications in machine learning.

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Introduces the basics of machine learning, covering supervised learning, reinforcement learning, and dimension reduction.

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Covers image classification, clustering, and machine learning techniques like dimensionality reduction and reinforcement learning.