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Course Discription |
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This course motivates to deliver a general introduction and fundamentals of machine learning followed by the application of machine learning in the design of physical layer techniques in wireless communications and in the optimization of mobile networks. The fundamentals of machine learning techniques will be discussed, namely deep neural network (DNN) and reinforcement learning. In addition, this course covers the ideas of supervised and unsupervised learning. Furthermore, the applications of machine learning in wireless communication systems will be also discussed. These applications include channel detection, solving resource allocation problem, recognition problems, and the applications of machine learning in Internet of thing (IoT) systems. |