R: Machine Learning Intro

Some basic notes. Steps: Question -> input data -> features -> algorithm -> parameters -> evaluation Large data sample: 60% training, 20% test, 20% validation Medium data sample: 60%-75% training, 25%-40% test Small data sample: only training, the...