Stanford-Machine-Learning-Course
所属分类：人工智能/神经网络/深度学习
开发工具：matlab
文件大小：173131KB
下载次数：0
上传日期：2011-12-25 10:04:23
上 传 者：
sh-1993
说明： 斯坦福机器学习课程，机器学习课程编程练习
(Stanford-Machine-Learning-Course,machine learning course programming exercise)
文件列表:
Anomaly Detection and Recommender Systems (0, 2011-12-25)
Anomaly Detection and Recommender Systems\ex8.pdf (270873, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8 (0, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\checkCostFunction.m (1620, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\cofiCostFunc.m (2215, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\computeNumericalGradient.m (1095, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\estimateGaussian.m (986, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\ex8.m (3809, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\ex8_cofi.m (7093, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\ex8_movieParams.mat (201196, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\ex8_movies.mat (223396, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\ex8data1.mat (9501, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\ex8data2.mat (93481, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\fmincg.m (8742, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\loadMovieList.m (651, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\movie_ids.txt (48444, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\multivariateGaussian.m (829, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\normalizeRatings.m (460, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\octave-core (40521496, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\selectThreshold.m (1532, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\submit.m (9318, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\submitWeb.m (10923, 2011-12-25)
Anomaly Detection and Recommender Systems\mlclass-ex8\visualizeFit.m (582, 2011-12-25)
DecisionTrees &Boosting (0, 2011-12-25)
DecisionTrees &Boosting\.dtree.py.swp (24576, 2011-12-25)
DecisionTrees &Boosting\.testdtree.py.swp (20480, 2011-12-25)
DecisionTrees &Boosting\Makefile (41, 2011-12-25)
DecisionTrees &Boosting\breast-cancer-wisconsin.names (5657, 2011-12-25)
DecisionTrees &Boosting\build.log (0, 2011-12-25)
DecisionTrees &Boosting\call_graph.png (240582, 2011-12-25)
DecisionTrees &Boosting\data.csv (2114, 2011-12-25)
DecisionTrees &Boosting\dtree.py (23233, 2011-12-25)
DecisionTrees &Boosting\dtree.pyc (27152, 2011-12-25)
DecisionTrees &Boosting\dtree1.py (22385, 2011-12-25)
DecisionTrees &Boosting\dttasks.py (11276, 2011-12-25)
DecisionTrees &Boosting\dttasks.pyc (14381, 2011-12-25)
DecisionTrees &Boosting\events.sqlite (264192, 2011-12-25)
DecisionTrees &Boosting\hw1.bat (56, 2011-12-25)
DecisionTrees &Boosting\hw1.pdf (284910, 2011-12-25)
... ...
These are some programming exercise of Stanford Machine Learning Online Course.
The algorithms were coded in python or matlab including:
1.Anomaly Detection and Recommender Systems
2.Decision Trees&Boosting
3.HMM
4.K-Means Clustering and PCA
5.Linear Regression
6.Logistic Regression (matlab/octave)
7.Multi-class classification and neural networks
8.Neural network learning
9.Regularized linear regression and bias-variance
10.Support Vector Machiness
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