An important concept regarding machine learning.
Distribution: Distribution shows us how the probabilities of measurements are distributed. 1. Normal Distribution:- Normal distribution is always centered on the average value. Standard Deviation: The width of the curve defines the ' standard deviation' . It is called a central limit theorem. Width of the mean value. Mean ( x̅ ): Center value or average value of the distribution. Both represent the population called as Population Parameter . The parameters that determine how a distribution fits the population data are called Population Parameters . 2. Exponential Distribution:- It is also used for probabilities and statistics. 3. Gamma Distribution:- It is also used for probabilities and statistics. In this type of distribution, shape and rate are parameters. Variance: OR Standard Deviation: Model: A model is a way to explore a relationship. We use statistics to determine how useful and how re...