Add a section on how ML algorithms "learn" i.e. just optimizing against a metric

[arronlacey]

Supervised Classification - cover accuracy, true positives rate, false positive rate, precision, recall, ROC. Unsupervised - kmeans total within sum of squared error, elbow Regression - RMSE