Python (Lambda functions)def define_g(mu,sigma): """ Define a lambda function for finding gaussian distribution values Parameters ---------- mu - mean of distribution sigma - standard deviation of distribution Returns ------- lambda function corresponding to a gaussian distribution function """ # YOUR CODE HERE

These examples might seem trivial but these are just the simplest examples where lambda functions can be useful. So let us define a lambda function where we can define gaussian function for different and values. The gaussian function is used in finding the gaussan istirb tion which is just a probability distribution. The gaussian function in our case would be given by such that when = 2 and = 2, So when x = 0, we have g(x = 0 | = 2, = 2) = e-(0-2)2/8-0.60653. When x = 2, we have g(x = 2 l - 2, = 2) = e-(2-2)38 -1. sigma) which takes the value of and and returns a lambda function such that it corresponds to g(x | -mu, = sigma) Write a function define g (mu, so when gCx) is called for a value of x we get a corresponding value >>> define-g (mu=2, sigma =2) = g g(0) 0.60653065971263342 >g(2) 1.0