Thống kê sử dụng R

Posted by sanghv on 12/12/2013 in Data Mining, Machine Learning, R |

Bài giảng thống kê trong y học sử dụng ngôn ngữ R. Chuong 13. Phan tich su kien Chuong 14. Phan tich tong hop Chuong 15. Uoc tinh co mau Chuong 16. Lap trinh va ham Chuong 17. Mot so lenh R thong dung Chuong 18. Thuat ngu Chuong 19. Tai lieu tham khao va […]



Financial Risk Forecasting

Posted by sanghv on 07/12/2013 in Data Mining, E-books, Financial Risk |

Theory and Practice of Forecasting Market Risk, with Implementation in R and Matlab To Download pls email: sanghv(at)gmail.com Financial_Risk_Forecasting__The_Theory_and_Practice_of_Forecasting_Market_Risk,_with_Implementation_in_R_and_Matlab__2011



Deep Learning: How the mind overrides Experience

Posted by sanghv on 14/09/2013 in Data Mining |

Although the ability to retain, process and project prior experience onto future situations is indispensable, the human mind also possesses the ability to override experience and adapt to changing circumstances. Cognitive scientist Stellan Ohlsson analyzes three types of deep, non-monotonic cognitive change: creative insight, adaptation of cognitive skills by learning from errors and conversion from […]



Top 10 Algorithms in Data Mining

Posted by sanghv on 13/09/2013 in Papers |

the first step in the identification process, in September 2006 we invited the ACM KDD Innovation Award and IEEE ICDM Research Contributions Award winners to each nominate up to 10 best-known algorithms in data mining. All except one in this distinguished set of award winners responded to our invitation. We asked each nomination to provide the following information: (a) the algorithm name, (b) a brief justification, and (c) a representative publication reference. We also advised that each nominated algorithm should have been widely cited and used by other researchers in the field, and the nominations from each nominator as a group should have a reasonable representation of the different areas in data mining.


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