Domestic and foreign websites
if you want to search for more innovative machine learning materials or articles, can go to the following Web site search, which includes not only the content of machine learning, there are many other areas related content, such as cloud computing and scientific data.
InfoWorld: HTTP: //www.infoworld.com/reviews/
Kdnuggets: HTTP: //www.kdnuggets.com
Datasciencecentral: HTTP: //www.datasciencecentral.com/
Datascienceplus: HTTP: //datascienceplus.com
data network analysis : http://www.afenxi.com/
Data science competition
contest on data analysis, domestic abroad have, here recommend some more fire to the competition website:
Kaggle competitions, URL: HTTPS: //www.kaggle.com/
DataCastle game, website: http: // www. pkbigdata.com/
Ali big data competition, there is no news, there is a 2015 [2015] Tianchi data race
Decision Tree - Reference: decision Tree (Python implementation)
http://blog.csdn.net/dream_angel_z/article/details/45965463
SVM support vector machine - Reference: pluskid SVM triple realm
http://blog.pluskid.org/?page_id=683
Adaboost - Reference: combinatorial algorithm - Adaboost
http://blog.csdn.net/huruzun/article/details/41323065
Random Forest - Reference: Random Forest algorithm
http://www.cnblogs.com/wentingtu/archive/2011/12/22/2297405.html
Naive Bayes algorithm - Reference: Naive Bayes algorithm
http://blog.csdn.net/dream_angel_z/article/details/46120867
Artificial Neural Network - Reference: http: //www.cnblogs.com/luxiaoxun/archive/2012/12/10/2811309.html
Apriori algorithm - Reference Address: Apriori association analysis
http://www.csuldw.com/2015/06/04/2015-06-04-Apriori/
K-Nearest Neighbor algorithm - Reference: KNN from principle to achieve
http://blog.csdn.net/dream_angel_z/article/details/45896449
Tree Algorithm Gradient lifting GTB - Reference: Gradient Tree Boosting (or GBRT)
http://blog.csdn.net/dream_angel_z/article/details/48085889
K-means clustering - Reference: K-means cluster
http://blog.csdn.net/dream_angel_z/article/details/46343597
Combining algorithms Summary - Reference: Ensemble summary algorithm
http://www.csuldw.com/2015/07/22/2015-07-22%20%20ensemble/
EM EM algorithm - Reference: EM algorithm
http://blog.csdn.net/zouxy09/article/details/8537620
Logistic regression - Reference: logistic regression
http://blog.csdn.net/wangran51/article/details/8892923
HMM hidden Markov models, reference: HMM
http://blog.csdn.net/likelet/article/details/7056068
CRFs, Reference: CRF
http://www.tanghuangwhu.com/archives/162
Random Forests and GBDT, reference: Random Forest model combining the decision tree GBDT
http://www.cnblogs.com/LeftNotEasy/archive/2011/03/07/1976562.html
Feature selection and feature extraction, with reference to: feature extraction and feature selection
http://blog.csdn.net/lanbing510/article/details/40488787
Gradient descent method, reference: gradient descent
http://blog.csdn.net/woxincd/article/details/7040944
Newton's method, reference: Newton's Law
http://blog.csdn.net/luoleicn/article/details/6527049
Linear Discriminant Analysis, Reference: linear discriminant
http://www.cnblogs.com/jerrylead/archive/2011/04/21/2024384.html
Deep Learning - Deep Learning Overview: from machine to perceive depth network
http://www.cnblogs.com/xiaowanyer/p/3701944.html