Introduction to Machine Learning

Learn how to use machine learning methods for real data. Beginning with the basic of machine learning including linear algebra, probability, linear regression, and logistic regression, and progressing to deep learning methods. In addition to the lectures, hands-on classes develop competencies in practical use of these techniques. Finally, implement these in student-driven machine learning projects (possibly using data provided from OIST units).

Prerequisites or Prior Knowledge

We will teach about Python, basic linear algebra, and probability. However, prior knowledge of these topics is highly recommended.