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
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
What Hoeffding's inequality bounds: tail probability of sum of bounded random variables
Hoeffding's inequality bounds the sum of bounded random variables' tail probability
Write the formula for normal distribution PDF
Normal distribution PDF: 𝑋/(σ√2π) * e^(-(X-μ)^2/(2σ^2))
A p-value < 0.05 means: if H₀ is true, this result has <5% probability
A p-value < 0.05 indicates a less than 5% chance of observing data as extreme as this if the null hypothesis is true
Write the equation for sigmoid function σ(x) = 1/(1+e^-x)
σ(x) = 1 / (1 + e^-x)
What the Nyquist theorem says: sample at ≥ 2× the highest frequency to avoid aliasing
Nyquist theorem: Sample rate ≥ 2*highest frequency to prevent frequency aliasing
Write the formula for Mahalanobis distance
D^2 = (x - μ)^T Σ^(-1) (x - μ)
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