Course Details

Course Details
Course No. : 2010042321
Course Name : Machine Learning
Prerequisite : 2010042220
Credit  : 3
Theory credit : 3
Practical Credit : 0
Course Discription : This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs, practical advice); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.
Syllabus : Download
The Course offering during the First Semester-2024/2025
Section NOTheory SectionTeacherTime & Location
10 DR ESRA'A AHMAD HELAEL ALSHDAIFAT 11,30 - 12,30 ح ث خ / المادة تدرس بشكل مدمج في مبنى تكنولوجيا المعلومات تك 101 / على منصة(مايكروسوفت teams)
20 DR ESRA'A AHMAD HELAEL ALSHDAIFAT 13,30 - 14,30 ح ث خ / المادة تدرس بشكل مدمج في مبنى تكنولوجيا المعلومات تك202 / على منصة(مايكروسوفت teams)