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Questions tagged [machine-learning]

How can we build computer systems that automatically improve with experience, and what are the fundamental laws that govern all learning processes?

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What is the $75$th percentile of the data distribution? [on hold]

What would be the value at $75$th percentile for a data distribution series with mean $= 5$, variance $= 11.5$, skewness $= 13.5$, kurtosis = $224.5$, and $n = 4$?
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Lipschitz and $\mu$ constants of squared loss

Given $f(x)$ as follows and $x_i \sim U[-1,1]$ and i.i.d $$f(x) = \frac{1}{2m}\sum_{i=1}^m (x-x_i)^2$$ I'm trying to find the best constants $\mu$-convex and $L$-smooth. I think they're the ...
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Prove that expected value of the training error is equal to the true error.

Can't solve this exercise from Understanding of Machine Learning book . Can somebody help me with this proof please. Let $H$ be a class of binary classifiers over a domain $X$ . Let $D$ be an ...
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Orthogonality in Orthogonal Matching Pursuit

Why is this Algorithm called ORTHOGONAL Matching Pursuit. I know that the residue is changed in each iteration so that it is orthogonal to the features already found. Is there any way to prove this ...
I want to measure "how convex" a set of points $x_n\in\mathbb R^K, n=1\ldots N$ is. Both $K$ and $N$ are potentially large $N\gtrsim 10^6$, $K\gtrsim 10^3$. One way would be to compute the volume of ...
Given a collection of data points $(x_1, ..., x_n)$, we assume they are drawn from some distribution with known parameters (say normal). Parzen density estimate is defined as \$p(x) = (1/(nh))*\sum_{i=...