Mathematics Articles

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The Causal Inference Series : Part I

Part I of a causal inference series: Simpson's paradox, Pearl's ladder of causation, confounding, selection bias, and why correlation is not enough.

Causal Inference Data Mathematics

Neural Tangent Kernel: A theoretical view of Deep Learning Theory

A theoretical overview of the Neural Tangent Kernel and what it reveals about training dynamics and the behavior of wide neural networks.

Neural Tangent Kernel Deep Learning Theory Kernel Methods

Demystifying Linear Regression: From Basic Equations to Loss Functions

Linear regression from first principles: the model, its assumptions, and how squared error, absolute error, Huber loss, and likelihood shape what it learns.

Linear Regression Machine Learning