Artificial Intelligence Foundations: Machine Learning.
Visit to California and Seatles Headquarters were part of Orientation and Finale of the program.
This machine learning course started by introducing the term artificial intelligence and machine learning, then proceeded to dive into the algorithms used by machines to classify data, as well as the different types of machine learning: supervised, unsupervised, and reinforcement.
Toward the end of the course, popular algorithms such as regression analysis, clustering, and decision trees were explained and exemplified. The course closed with some of the dangers implied with machine learning and how it can proceed in the future.
Some of the key concepts learned are how to describe and work with data, distinguishing the types of machine learning, selecting the best algorithm depending on different factors, and applying machine learning principles.