We use MLE to estimate co-effecients in linear and logistic regression. As far as my understanding The basic intuition is that ’which parameter is most likely given the data’. It is mathematically defined as follows:
L(parameter | data) = P(data | parameter)
where L() is the likelihood function and P() is the probability.
I’m having trouble in understanding the above equation as it goes against the basic intuition. Shouldn’t it be P(parameter | data)?