I bought a can of eight-treasure porridge last night
I searched for a longan in it for a long time. Generally, a can of eight-treasure porridge has a longan in it.
We can now infer the ratio of raw materials when the manufacturer is producing by counting the number of various raw materials in this can of eight-treasure porridge.
The theoretical basis here is the maximum likelihood estimation
It seems to mean like this
The maximum likelihood estimation, in a popular understanding, is to use the known sample result information to infer the model parameter values (the ratio of raw materials of the manufacturer) that are most likely (maximum probability) to cause these sample results (the eight-treasure porridge in my hand) to appear. !
In other words, Maximum Likelihood Estimation provides a way to evaluate the parameters of a model given observational data, ie: "The model is given, the parameters are unknown".