Machie Learning techniques are becoming increasingly popular across areas of research from computer science to various disciplines of medicine. This branch of artificial intelligence relates to algorithms that learn from data based on specific tasks and performance measures. This course is an introductory applied course, using Stata software to run various ML algorithms. This course will use some Stata commands that are built into the base system and others that have been specially designed user-written commands that have evolved from the increasing use of ML. Classification, prediction and model selection issues will be discussed. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course.
Please note that this course will use Stata V16.