Advanced Machine Learning

Spring 2024 > Computer Related > MIST.6170 > 082

Course No: MIST.6170-082; SIS Class Nbr: 5053; SIS Term: 3330
Course Status: Registration Closed

Course Description

This is an advanced course on machine learning and data science for business. In this course, students learn how to analyze, design and develop machine learning techniques and tools for business analytics. Applications to both strategic and operational problems in today's data-driven ecosystem will be discussed. Topics include supervised learning, unsupervised learning, statistical learning, ensemble learning, model and performance evaluation, text feature learning, text analytics, artificial neural networks, deep neural networks, deep learning, and machine-learning and Al related privacy and ethical issues. The course will be taught using Python programming language.

Prerequisites, Notes & Instructor

  • Prerequisites: MIST.6060 Business Intelligence & Data Mining or equivalent, or permission of graduate business programs coordinator.
  • Credits: 3; Contact Hours: 3
  • Instructor: Xiaobai Li
  • UMass Lowell Bookstore

When Offered & Tuition

  • Online Course
  • 2024 Spring: Mar 11 to May 04
  • Course Level: Graduate
  • Tuition: $1965 | Pay as little as $ 498.75/mo for this course.
    Learn more about course payment plans. »
  • Note: There is a $30 per semester registration fee for credit courses.

Related Programs: M.S. in Business Analytics

Every effort has been made to ensure the accuracy of the information presented in this catalog. However, the Division of Graduate, Online & Professional Studies reserves the right to implement new rules and regulations and to make changes of any nature to its program, calendar, procedures, standards, degree requirements, academic schedules (including, without limitations, changes in course content and class schedules), locations, tuition and fees. Whenever possible, appropriate notice of such changes will be given before they become effective.

Course Registration Closed

The registration period for this course has ended.

Check availability for the current semester