Feature Learning: Stability and Curse of Dimensionality

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Nonlinear Supervised Learning

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Machine Learning Fundamentals

Introduces the basics of machine learning, covering supervised classification, logistic regression, and maximizing the margin.

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Introduces machine learning concepts, from basics to advanced neural networks.

Deep Learning: No Free Lunch Theorem and Inductive Bias

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Reinforcement Learning Concepts

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Neural Networks: Training and Activation

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Deep Splines: Unifying Framework for Deep Neural Networks

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