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文件名称:-机器学习公开课课件
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- 上传时间：2017-12-14
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斯坦福机器学习公开课课件,希望对刚学机器学习的同学有点帮助(Stanford Machine Learning Open Courseware)
相关搜索： 斯坦福CS229机器学习课件
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下载文件列表
| 文件名 | 大小 | 更新时间 | |
|---|---|---|---|
| 课件\cs229-notes1 Supervised Learning | Discriminative Algorithms .pdf | 235162 | 2007-12-11 |
| 课件\cs229-notes10 Principal Components Analysis .pdf | 77205 | 2007-12-11 | |
| 课件\cs229-notes11 Independent Components Analysis .pdf | 75963 | 2007-12-11 | |
| 课件\cs229-notes12 Reinforcement Learning and Control .pdf | 75738 | 2007-12-11 | |
| 课件\cs229-notes2 Generative Algorithms .pdf | 878764 | 2007-12-11 | |
| 课件\cs229-notes3 Support Vector Machines .pdf | 179785 | 2007-12-11 | |
| 课件\cs229-notes4 Learning Theory .pdf | 111349 | 2007-12-11 | |
| 课件\cs229-notes5 Regularization and Model Selection .pdf | 88707 | 2007-12-11 | |
| 课件\cs229-notes6 Online Learning and the Perceptron Algorithm. (optional reading).pdf | 52070 | 2007-12-11 | |
| 课件\cs229-notes7a Unsupervised Learning | k-means clustering. .pdf | 271020 | 2007-12-11 |
| 课件\cs229-notes7b Mixture of Gaussians .pdf | 55179 | 2007-12-11 | |
| 课件\cs229-notes8 The EM Algorithm .pdf | 83133 | 2007-12-11 | |
| 课件\cs229-notes9 Factor Analysis .pdf | 83106 | 2007-12-11 | |
| 课件\cs229-prob Probability Theory Review .pdf | 151039 | 2007-12-11 | |
| 课件\ML-advice.pdf | 320993 | 2007-12-11 | |
| 课件\Section notes 1-Linear Algebra Review and Reference .pdf | 168545 | 2007-12-11 | |
| 课件\Section notes 4-Convex Optimization Overview | Part I.pdf | 152436 | 2007-12-11 |
| 课件\Section notes 5-Convex Optimization Overview | Part II .pdf | 201528 | 2007-12-11 |
| 课件\Section notes 6-Hidden Markov Models .pdf | 202549 | 2007-12-11 | |
| 课件\Section notes 7-The Multivariate Gaussian Distribution.pdf | 343164 | 2014-05-15 | |
| 课件\Section notes 8-More on Gaussian Distribution.pdf | 119533 | 2014-05-15 | |
| 课件\Section notes 9-Gaussian Processes.pdf | 163887 | 2014-05-15 | |
| 课件 |
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