Machine Learning Systems

3 credits · Undergraduate Programs

Techniques for extracting, cleaning, and visualizing data from engineering applications. Basic numerical computation techniques underlying learning algorithms. Fundamental supervised and unsupervised learning algorithms. Emphasis will be on leveraging existing software libraries and frameworks to solve problems in various engineering disciplines. Prerequisite(s): 3 units from Engineering 319, Digital Engineering 319 or Electrical Engineering 419. Antirequisite(s): Credit for Software Engineering for Engineers 444 and Software Engineering for Engineers 544 will not be allowed.