Introduction
What this guide covers
Introduction Mathematical Statistics · Machine Learning
Overview
Topics covered
- Introduction
- Non-Parametric and Neighborhood Methods
- Fundamentals of Non-Parametric Inference
- Dichotomy between Parametric and Non-Parametric Methods
- The Curse of Dimensionality
- Bias-Variance Commitment in Non-Parametric Regimes
Related concepts
Main connections
Compatible notation
Mathematical sample in LaTeX
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\mathcal{P} = \{ P_{\theta} : \theta \in \Theta \} \quad \text{where} \quad \Theta \subseteq \mathbb{R}^d \quad \text{for a } d < \infty