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Title: machine-learning-courses_stanford Download
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  • 2012-11-26
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 Description: The notes of Machine learning courses in Stanford University。
 Downloaders recently: [More information of uploader 84060393]
 To Search: cs229 problem set 4
  • [LR_adult] - Classification based on logistic regress
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斯坦福大学-机器学习课程\Click_index_to_start.txt
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.......................\index.html
.......................\lecturelist.html
.......................\materials\aimlcs229\AI-classes.pdf
.......................\.........\.........\assignments.html
.......................\.........\.........\compute_kernel_matrix.txt
.......................\.........\.........\cs229-cvxopt.pdf
.......................\.........\.........\cs229-cvxopt2.pdf
.......................\.........\.........\cs229-gp.pdf
.......................\.........\.........\cs229-hmm.pdf
.......................\.........\.........\cs229-linalg.pdf
.......................\.........\.........\cs229-notes10_PCA.pdf
.......................\.........\.........\cs229-notes11_ICA.pdf
.......................\.........\.........\cs229-notes12_加强学习.pdf
.......................\.........\.........\cs229-notes1_线性回归、逻辑回归、GLM.pdf
.......................\.........\.........\cs229-notes2_生成式.pdf
.......................\.........\.........\cs229-notes3_SVM.pdf
.......................\.........\.........\cs229-notes4_学习理论.pdf
.......................\.........\.........\cs229-notes5_模型选择.pdf
.......................\.........\.........\cs229-notes6_感知器.pdf
.......................\.........\.........\cs229-notes7a_k均值聚类.pdf
.......................\.........\.........\cs229-notes7b_混合高斯和EM.pdf
.......................\.........\.........\cs229-notes8_EM.pdf
.......................\.........\.........\cs229-notes9_factor analysis.pdf
.......................\.........\.........\cs229-prob.pdf
.......................\.........\.........\emacs.txt
.......................\.........\.........\gp_demo.txt
.......................\.........\.........\handouts.html
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.......................\.........\.........\logistic_grad_ascent.txt
.......................\.........\.........\matlab_el.txt
.......................\.........\.........\matlab_session.txt
.......................\.........\.........\ML-advice.pdf
.......................\.........\.........\practice-midterm.pdf
.......................\.........\.........\problemset1.pdf
.......................\.........\.........\problemset2.pdf
.......................\.........\.........\problemset3.pdf
.......................\.........\.........\problemset4.pdf
.......................\.........\.........\projectGuidelines.pdf
.......................\.........\.........\PS1-data.zip
.......................\.........\.........\ps1_solution-data.zip
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