Machine-Learning

Probablity and Statistics Covariance Matrix, Diagonal & Off-Diagonal Entries Covariance Matrix A covariance matrix \(\Sigma\) is a square matrix that shows the covariance between each pair of coordinates in a random vector.

Apr 12, 2025

D2L - Chapter 2.4 Calculus + 2.5 Automatic Differentiation

2.4 Calculus 2.4.1 Derivatives and Differentiation 2.4.2 Visualization Utilities 2.4.3 Partial Derivatives and Gradients When there is no ambiguity, ∇ₓf(x) is typically replaced by ∇f(x). The following rules come in handy for differentiating multivariate functions:

Apr 9, 2025

D2L - Chapter 2.2 Data Preprocessing + 2.3 Linear Algebra

2.2 Data Preprocessing 2.2.1 Reading the Dataset 2.2.2 Data Preparation inputs = pd.get_dummies(inputs, dummy_na=True) inputs = inputs.fillna(inputs.mean()) 2.2.3 Conversion To the Tensor Format from jax import numpy as jnp X = jnp.

Apr 8, 2025