ChatGPT, Data Science, Clustering, Machine Learning, Artificial Intelligence.
find the parameters that result in the smallest difference between the predicted and actual values. In essence, optimizing for maximum likelihood and minimizing loss are both methods for finding the parameters of a model that best fit the data. The difference is in the objective function that is