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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 Second Semester-2023/2024
Section NO
Theory Section
Teacher
Time & Location
1
0
DR ESRA'A AHMAD HELAEL ALSHDAIFAT
09,30 - 10,30 ح ث خ / المادة تدرس بشكل مدمج في مبنى الحسين الباني ح.ب 210 / على منصة(مايكروسوفت teams)