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MIT大学的机器学习课程讲稿,很经典的!包括分类,回归,判别式学习,产生式学习,SVM等,基本上包括常用的机器学习算法-MIT University of speech machine learning curriculum, it is classic! Including classification, regression, discriminant study, resulting in learning, SVM, etc., basically including the commo
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《将UIQ应用移植到Series60 Platform》-" The UIQ applications to Series60 Platform"
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Matlab implementations of algorithms from Rasmussen & Williams "Gaussian Processes for Machine Learning", the MIT Press 2006.
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A book describing basic probability needed for fundamental CS theory in machine learning and other topics.
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MIT牛人教授的课件，机器学习的入门教程，超赞-slides given by MIT professor
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这是一个高斯过程回归和分类工具箱，功能非常齐全，可以为解决高斯过程相关的问题提供很多帮助- GAUSSIAN PROCESS REGRESSION AND CLASSIFICATION Toolbox version 3.6
for GNU Octave 3.2.x and Matlab 7.x
Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2015-07-07.
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脉冲响应的相关分析算法并检验，MIT人工智能实验室的目标识别的源码,是机器学习的例程。- Related impulse response analysis algorithm and inspection, MIT Artificial Intelligence Laboratory identification of the target source, Machine learning routines.
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