Machine learning is a rapidly growing field at the intersection of computer science and statistics concerned with finding patterns in data. It is responsible for tremendous advances in technology, from personalized product recommendations to speech recognition in cell phones. This course provides a broad introduction to the key ideas in machine learning. The emphasis will be on intuition and practical examples rather than theoretical results, though some experience with probability, statistics, and linear algebra will be important. Course must be taken for a letter grade to fulfill degree requirements.

Requisites

• MIDS students only. DATASCI 201 or DATASCI 201A and DATASCI 203. Intermediate competency in Python, C, or Java, and competency in Linux, GitHub, and relevant Python libraries. Linear algebra is recommended.

Repeat Rules

Course is not repeatable for credit.