Enrollment and waitlist data for current and upcoming courses refresh every 10 minutes; all other information as of 6:00 AM.
| 09/08 - 12/18 | ||||||
| M | T | W | Th | F | Sa | Su |
5:45 pm |
||||||
Subject: Software Eng (Grad) (SEIS)
CRN: 43855
Online: Sync Distributed | Lecture
Online
Requirements Met:
Software Technical Elective
Machine Learning builds computational systems that learn from and adapt to the data presented to them. It has become one of the essential pillars in information technology today and provides a basis for several applications we use daily in diverse domains such as engineering, medicine, finance, and commerce. This course covers widely used supervised and unsupervised machine learning algorithms used in industry in technical depth, discussing both the theoretical underpinnings of machine learning techniques and providing hands-on experience in implementing them. Additionally, students will also learn to evaluate effectiveness and avoid common pitfalls in applying machine learning to a given problem. Prerequisite: SEIS 603 and 631
3 Credits