Practical Machine Learning (Michale Jordan--伯克力大学)
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2018-02-02
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Practical Machine Learning (Michale Jordan--伯克力大学).rar （13个子文件） 
Practical Machine Learning (Michale Jordan--伯克力大学) 
04-Clustering.pdf 27.04MB 05-Dimensionality reduction.pdf 5.8MB 07-Hidden Markov models& graphical models.pdf 3.73MB 12-Time series&sequential hypothesis testing.pdf 1.13MB 08-Collaborative Filtering.pdf 3MB 10-Reinforcement learning.pdf 594KB 14-Optimization methods for learning.pdf 1.25MB 13-Bayesian nonparametric methods (Dirichlet processes) .pdf 3.25MB 03-Classification.pdf 2.02MB 11-Bootstrap&cross-validation-ROC plots.pdf 485KB 09-Active learning experimental design.pdf 577KB 02regression.pdf 1.95MB 06-Feature selection.pdf 4.04MB资源评论
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