Normal distribution PDF: 𝑋/(σ√2π) * e^(-(X-μ)^2/(2σ^2))
Normal distribution PDF: 𝑋/(σ√2π) * e^(-(X-μ)^2/(2σ^2))
Write the equation for sigmoid function σ(x) = 1/(1+e^-x)
σ(x) = 1 / (1 + e^-x)
Write the formula for Pearson correlation coefficient
r = Σ((xi - x̄)(yi - ȳ)) / (√Σ(xi - x̄)² * √Σ(yi - ȳ)²)
What the characteristic function φ(t) = E[e^(itX)] does: Fourier transform of the PDF
Characteristic function φ(t) = E[e^(itX)] represents the Fourier transform of the probability density function (PDF)
Write the formula for Mahalanobis distance
D^2 = (x - μ)^T Σ^(-1) (x - μ)
What Chebyshev's inequality says: P(|X-μ| ≥ kσ) ≤ 1/k²
Chebyshev's inequality states that the probability of a random variable deviating from its mean by at least k standard deviations is less than or equal to 1/k²
Write the formula for covariance between X and Y
Cov(X, Y) = Σ((Xi - X̄)(Yi - Ȳ)) / (n - 1)
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