Gradient Descent

This is a short summary of the first week of the machine learning course by Andrew Ng. First thing he covered was the difference between supervised and unsupervised learning, but I currently care about the former. supervised ml: Giving the computer a data set with sample answers of interest and telling it “find the correlation between the dataset and the answers of interest” or more simply, “learn how to get me the answers I care about given this dataset”. ...