Читать книгу Informatics and Machine Learning - Stephen Winters-Hilt - Страница 37

In this section we consider a r.v., X, with specific examples where those outcomes are fully enumerated (such as 0 or 1 outcomes corresponding to a coin flip). We review a series of observations of the r.v., X, to arrive at the LLN. The emergent structure to describe a r.v. from a series of observations is often described in terms of probability distributions, the most famous being the Gaussian Distribution (a.k.a. the Normal, or Bell curve).