hw2 README

hw2/README.md

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+# HW2
+>ADULT dataset:
+
+>本次作業是需要從給定的個人資訊（如下表），預測此人的年收入是否大於50K。
+
+>共有32561筆訓練資料，16281筆測試資料
+
+>(8140 in private test set and 8141 in public test set)
+
+## Kaggle Link
+<https://inclass.kaggle.com/c/ml2017-hw2>  
+
+## Data Link
+<https://drive.google.com/file/d/0B8Si647wj9ZoTE9uQzAwR0M5ZkU/view?usp=sharing>  
+
+## Reference
+<https://en.wikipedia.org/wiki/Cross_entropy>  
+<https://en.wikipedia.org/wiki/Logistic_regression>  
+<https://en.wikipedia.org/wiki/Multivariate_normal_distribution>  
+<https://en.wikipedia.org/wiki/Ensemble_learning>  
+<https://en.wikipedia.org/wiki/Gradient_boosting>  
+<https://www.cmlab.csie.ntu.edu.tw/~cyy/learning/tutorials/EnsembleLearning.pdf>  
+
+<https://docs.scipy.org/doc/numpy/reference/generated/numpy.exp.html>  
+<https://docs.scipy.org/doc/numpy/reference/generated/numpy.log.html>  
+<https://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.det.html>  
+<https://docs.scipy.org/doc/numpy/reference/generated/numpy.mean.html>  
+<https://docs.scipy.org/doc/numpy/reference/generated/numpy.average.html>  
+<https://docs.scipy.org/doc/numpy/reference/generated/numpy.clip.html>  
+
+## TA's tutorial
+<https://docs.google.com/presentation/d/1lGmk0U8N_qAwLW6-0EcODaPKI1EQnhjt7joal_sJ9SI/edit#slide=id.g1daca38085_0_37>  
+<https://codepad.org/RvIY9BU2>  
+<https://codepad.org/wlrT0lw4>