VECTOR | [3-0-0:3] |
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DESCRIPTION | This course aims to introduce students to all the basic and advanced concepts in Linear Algebra with a strong focus on their applications in Data Analysis, Signal Processing, and Machine Learning. It will cover the following three parts: Data Analytics (Recommender systems, Data completion, Data prediction, forecasting, Optimal Estimation); Signal Processing (Signal Estimation, Regularization, Compressive Sensing, Image Compression, Robotics and Dynamical systems); Machine Learning (Regression, Clustering, EM Algorithm, Perceptron, SVM/ Kernel SVM, Principal Component Analysis (PCA), Graph Neural Network). |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6013) | Fr 09:00AM - 11:50AM | Rm 102, W1 | XU, Renjing | 20 | 10 | 10 | 0 |