univariate linear regression and gradient descent
this is a short summary of the first week of the machine learning course by andrew ng. 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”. can be: regression (used for in discrete and continuous answers) or classsification (used for discrete incontinuous answers, typically called classes)> regression: can be linear, logistic or more idk yet. ...