how many times do you have to do the trial to get at least one success

constituents

• \(p\) is the probability of one individual success
• \(x\) is the number of trials

requirements

\begin{equation} P(X = x) = \qty(1-p)^{x-1} p \end{equation}

which represents the probability of getting a success on the \(x\) trial

additional information

The geometric multplicity for a given eigenvalue is the dimension of its generated eigenspace.

(Py)Torch is a great C++/Python library to construct and train complex neural networks. It has taken over academia over the last few years and is slowly taking over industry. Let’s learn about how it works!

This document is meant to be read cover-to-cover. It makes NO SENSE unless read like that. I focus on building intuition about why PyTorch works, so we will be writing unorthodox code until the very end where we put all ideas together.

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