sklearn实战-乳腺癌细胞数据挖掘(博客主亲自录制视频教程) https://study.163.com/course/introduction.htm?courseId=1005269003&utm_campaign=commission&utm_source=cp-400000000398149&utm_medium=share http://blog.cloudera.com/blog/2013/12/how-to-do-statistical-analysis-with…

Global Statistics: Common seen methods as such 1. Mean 2. Median 3. Standard deviation:  the larger the number means it various a lot. 4. Sum. Rolling Statistics: It use a time window, moving forward each day to calculate the mean value of those wind…

原创博客,未经允许,不得转载. 生存分析,survival analysis,顾名思义是用来研究个体的存活概率与时间的关系.例如研究病人感染了病毒后,多长时间会死亡:工作的机器多长时间会发生崩溃等.  这里“个体的存活”可以推广抽象成某些关注的事件. 所以SA就成了研究某一事件与它的发生时间的联系的方法.这个方法广泛的用在医学.生物学等学科上,近年来也越来越多人用在互联网数据挖掘中,例如用survival analysis去预测信息在社交网络的传播程度,或者去预测用户流失的概率. R里面有很成熟…

Source: Research gate Stafford Michahial EEG is a very low frequency.. and literature will give us the region where Alpha, Beta, Mu, signals are generated in Brain... and to reduce the complexity and to avoid interference as much as possible.. we go…

外显子后续分析研究思路一般有以下几种(Methods for follow-up research of exome analysis): 1.对突变频率.突变类型.突变方式进行统计分析 Mutations statistical analysis 具体见下图: 参考文献:Di, Jiabo, et al. "Whole exome sequencing reveals intertumor heterogeneity and distinct genetic origins of sporad…

MAST 397B: Introduction to Statistical ComputingABSTRACTNotes: (i) This project can be done in groups. If it is done in a group, you have to submit the copy for the group (not individuals). In this case the cover page must have all the group members…

100 open source Big Data architecture papers for data professionals. 读完这100篇论文 就能成大数据高手 作者 白宁超 2016年4月16日13:38:49 摘要:本文基于PayPal高级工程总监Anil Madan写的大数据文章,其中涵盖100篇大数据的论文,涵盖大数据技术栈(数据存储层.键值存储.面向列的存储.流式.交互式.实时系统.工具.库等),全部读懂你将会是大数据的顶级高手.作者通过引用Anil Madan原文和CS…

zhuan :https://www.linkedin.com/pulse/100-open-source-big-data-architecture-papers-anil-madan Big Data technology has been extremely disruptive with open source playing a dominant role in shaping its evolution. While on one hand it has been disruptiv…

从面向找工作的角度出发,我觉得以下课程有很大帮助: 首推Robert Sedgewick,也是我觉得对我帮助最大的老师,讲课特点是能把复杂的算法讲解清楚(典型例子:红黑树,KMP算法) 他在Coursera有四门课,循序渐进,也越来越理论,尤其是前三门,非常值得一上.个人认为上完前两门,你的理论基础(当然还要结合刷题的实践)已经可以虐普遍的小公司和大部分的大公司了.上完第三门可以虐一流公司如Google,Facebook,Linkedin等.第四门还没开,不过看过课程介绍,觉得上完可以去当大公司…

http://exploredegrees.stanford.edu/coursedescriptions/cs/ CS 101. Introduction to Computing Principles. 3-5 Units. Introduces the essential ideas of computing: data representation, algorithms, programming "code", computer hardware, networking, s…