I(X;Y) = ∑∑ P(x,y) log(P(x,y)/(P(x)P(y)))
I(X;Y) = ∑∑ P(x,y) log(P(x,y)/(P(x)P(y)))
Mutual information I(X;Y) = H(X) - H(X|Y) = H(Y) - H(Y|X)
Mutual information measures dependence between variables X and Y
Write the equation for cross-entropy loss
H(y, p) = -Σ(y_i * log(p_i)) for all i
Write the formula for covariance between X and Y
Cov(X, Y) = Σ((Xi - X̄)(Yi - Ȳ)) / (n - 1)
Shannon's channel capacity: C = B log₂(1 + S/N) bits per second
Shannon's formula: C = B log₂(1 + S/N) defines channel capacity in bits/s
Write the formula for Pearson correlation coefficient
r = Σ((xi - x̄)(yi - ȳ)) / (√Σ(xi - x̄)² * √Σ(yi - ȳ)²)
Write the formula for KL divergence D_KL(P||Q)
D_KL(P||Q) = Σ P(x) log(P(x)/Q(x)) for all x in the support of P
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