BUS 243F: Introduction to Natural Language ProcessingInstructor: International Business School Instructors Prerequisites: Bus 215f and either Econ 184a or Econ 213a with a grade of C+ or higher. Machine Learning is recommended. Course Description: Natural language processing (NLP) is becoming increasingly widespread. Applications of NLP have become embedded in our everyday lives, and these applications are based somewhere between formal linguistics and statistical physics. Especially over the past decade, neural network approaches have become the de facto standard for many NLP tasks. This course aims to provide a survey of these foundations, but we will take NLP in a narrow sense to cover the text analysis only. The course assumes a background in multivariate calculus, linear algebra, and proficiency in Python. The goal of this course is to enable you to build your language applications using the PyTorch framework.</br>Instructor: Yeabin Moon</br><b>PLEASE NOTE: This is a Graduate Level class. Undergraduates who are interested in this course should contact Karen Muise at the Brandeis International Business School - email: kmuise@brandeis.edu.</b> Session: Session II Day: T, Th Time: 9:00am - 11:00am Credit Hours: 4 Credits Course Format: On-Campus Course for Summer 2023 Brandeis Graduation Requirement Fulfilled: Enrollment Limit: 30 students Course Classification: Available for Graduate Credit Course Tuition: $3,490 Course Fees: None Open to High School Students: No |
