Based on a mathematical and statistical theory foundation, the course introduces statistical methods for supervised and unsupervised learning, focusing on hands-on skills with statistical software, R, and applications to real data. Weekly hours: 3 Lecture hoursPrerequisite(s): STAT 344.3 or STAT 345.3. Note: This course is a hybrid course with STAT 447, and this course cannot be taken for credit after previously taking STAT 447.
Based on a mathematical and statistical theory foundation, the course introduces statistical methods for supervised and unsupervised learning, focusing on hands-on skills with statistical software, R, and applications to real data. Weekly hours: 3 Lecture hoursPrerequisite(s): STAT 344.3 or STAT 345.3. Note: This course is a hybrid course with STAT 447, and this course cannot be taken for credit after previously taking STAT 447.
