Introduction to Machine Learning

The term "artificial intelligence" has long been popular. This course introduces students to machine learning, one of the main technologies responsible for artificial intelligence. Machine learning is a widely used and important technique in data science and statistics today. This course will require the use of some simple math—but do not let this scare you. The course is designed to easily teach the mechanisms of machine learning to those who were not good at mathematics in high school or who thought that mathematics is not useful.

Combining the humanities and the sciences, data science, artificial intelligence, machine learning, useful mathematics

*The order and contents of the following classes may change slightly depending on student progress.
・1) Guidance lecture
・2) Overview with a focus on what artificial intelligence is and what it can do
・3) Learning the necessary mathematics (differentiation)
・4) Learning the necessary mathematics (matrices)
・5) Learning the necessary mathematics (probability)
・6) Learning linear regression models
・7) Learning multiple linear regression models
・8) Learning the basics of Python
・9) Learning data processing with Python
・10) Learning data analysis with Python
・11) Regression analysis practice
・12) Learning neural networks
・13) Neural network practice
・14) Learning about clustering
・15) Clustering practice. Course survey

Syllabus (Japanese site only)