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[Music] hi im sam in this pa lesson were going to learn about generalized linear models this is a type of supervised learning that is used frequently by actuaries because its simple and easy to interpret glms are a class of linear model everyones familiar with regression models this is actually a sub type of glm this assumes two key items item number one that the mean is related to the target by the identity function this just means that if you take all the variables and multiply them by the coefficients youll get the mean of the distribution the second key assumption is that the distribution is gaussian this means that it has a symmetric shape and it is centered around a single number glms are called generalized because glms expand upon this narrow definition by these two items item number one the coefficients now relate to the mean through a link function in other words uh the if g is the link function g of mu is equal to the coefficients multiplied by all of the variables the