Course Description
Through instructor-led coding demonstrations, students will explore varioussupervised and unsupervised learning algorithms within prominent frameworks. The course aims to empower students with the knowledge to analyze and selectappropriate machine learning algorithms and techniques to tackle real-world challenges, without the need for hands-on practice.
Learning Outcomes
By the end of this course, you will be able to:
• Assess and understand the core principles, applications, and limitations of machine learning, distinguishing its role from traditional programming.
• Analyze a variety of supervised and unsupervised machine learning algorithms using prominent frameworks.
• Integrate machine learning knowledge to address real-world challenges by choosing appropriate algorithms and techniques.
*This course is a joint collaboration between UCSI and Purdue University. Upon completion, participants will receive a certificate co-issued by both UCSI and Purdue University.