文件名称：CMU的Bhiksha Raj 教授Machine Learning for Signal Processing的课件
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更新时间：2021-02-26 03:56:11
CMU的Bhiksha Raj 教授Machine Learning for Signal Processing的课件 Recommended Background DSP – Fourier transforms, linear systems, basic statistical signal processing Linear Algebra – Definitions, vectors, matrices, operations, properties Probability – Basics: what is an random variable, probability distributions, functions of a random variable Machine learning – Learning, modelling and classification techniques
【文件预览】：
Lecture5.ProjectIdeas.CMU.pdf
Lecture3.LinearAlgebra.CMU.pdf
Lecture6.DeterministicRepresentations.CMU.pdf
Lecture10.ICA.CMU.pdf
Lecture12.sparseovercomplete.CMU.pdf
Lecture2.LinearAlgebra.CMU.pdf
Lecture9.NMF.CMU.pdf
Lecture8.BoostingandFacedetection.CMU.pdf
Lecture1.Introduction.CMU.pdf
Lecture4.Optimization.CMU.pdf
Lecture7.EigenRepresentations.CMU.pdf
Lecture11.clustering.CMU.pdf