Series Recap: A High-Level Understanding of Machine Learning

This note shares a final recap of my series of notes on the different topics from Andrew Ng's Machine Learning course. I hope that these notes help to make machine learning more accessible and create greater collective intuition around machine learning. What are the types of Machine Learning? ML is when a computer program is able to learn without being programmed explicitly, which is often illustrated as getting better at a task as it gains more experience according to a measure of performance. ML can be bucketed as either (1) "supervised learning" where it learns from the "right answers" (e.g., regression or classification), or (2) "unsupervised learning" where there are no "right answers" given, but the model finds structure or patterns in the data (e.g., clustering).