Reading 11: Introduction to Machine Learning#
For the class on Monday, March 3rd
Reading assignments#
Read the following sections of [The20]:
(Optional) Sec. 1.1 “The Historical Context”
(Optional) Sec. 1.2 “Artificial Intelligence and Machine Learning”
(Optional) Sec. 1.3 “Algorithms Can Learn What Is Hidden in the Data”
Sec. 1.4 “Typical Applications of Machine Learning”
Sec. 1.5 “Machine Learning: Major Directions”
Hint
Sec. 1.1–1.3 are optional. They provide a historical context and a high-level overview of machine learning for those who are interested.
Questions#
Submit your answer on Canvas. Due at noon, Monday, March 3rd.
Warning
If you use AI to help answer the following questions, make sure you read and agree with what it says!
List anything from your reading that confuses you. Explain why they confuse you. If nothing confuses you, briefly summarize what you have learned from this reading assignment.
What is the main difference between a supervised learning method and an unsupervised learning method?
Give an example problem in physics and astronomy, preferably in your research area, where machine learning methods may be useful.