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  FQ不易,转载 http://randomascii.wordpress.com/2011/08/23/xperf-analysis-basics/ I started writing a description of how to examine CPU Sampling data in xperf and realized that I needed a basics article to link back to. Here it is. Learn this before you g…
factoextra is an R package making easy to extract and visualize the output of exploratory multivariate data analyses, including: Principal Component Analysis (PCA), which is used to summarize the information contained in a continuous (i.e, quantitati…
目录 1.Collecting data 1.1 Register Your App 1.2 Accessing the Data 1.3 Streaming 2.Text Pre-processing 2.1 The Anatomy of a Tweet 2.2 How to Tokenise a Tweet Text 3.Term Frequencies 3.1 Counting Terms 3.2 Removing stop-words 3.3 More term filters 4.Ru…
目录 1.Collecting data 1.1 Register Your App 1.2 Accessing the Data 1.3 Streaming 2.Text Pre-processing 2.1 The Anatomy of a Tweet 2.2 How to Tokenise a Tweet Text 3.Term Frequencies 3.1 Counting Terms 3.2 Removing stop-words 3.3 More term filters 4.Ru…
http://randomascii.wordpress.com/2011/08/18/xperf-basics-recording-a-trace/   This post is obsolete – deprecated. For information on newer/easier/better ways of recording xperf traces see Xperf Basics: Recording a Trace (the easy way). The Windows Pe…
  http://randomascii.wordpress.com/2013/04/20/xperf-basics-recording-a-trace-the-easy-way/   Some time ago I wrote a long and detailed post about how to record traces using xperf. The steps needed to record a trace were daunting. However more recent…
Around September of 2016 I wrote two articles on using Python for accessing, visualizing, and evaluating trading strategies (see part 1 and part 2). These have been my most popular posts, up until I published my article on learning programming langua…
Logistic Regression with a Neural Network mindset Welcome to the first (required) programming exercise of the deep learning specialization. In this notebook you will build your first image recognition algorithm. You will build a cat classifier that r…
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https://www.investopedia.com/articles/active-trading/101014/basics-algorithmic-trading-concepts-and-examples.asp Algorithmic trading (also called automated trading, black-box trading, or algo-trading) uses a computer program that follows a defined se…
资源: sci-hub paper CellBench package - github CellBench_data - code for the paper 现在单细胞领域的突出问题就是工具过多,但缺乏gold-standard benchmark datasets,没有一定的标准来衡量工具的好坏. 另外人们也不容易根据自己的问题来选择合适的工具,所以保险起见,现在大家都只用最有名气的那几个工具:seurat.monocle.SC3等. 算法是无穷的,随便套几个方法就能组成一个分析方法,做生…
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catalogue . 静态分析.动态分析.内存镜像分析对比 . Memory Analysis Approach . volatility: An advanced memory forensics framework . github-djteller-MemoryAnalysis . Awesome Malware Analysis Projects 1. 静态分析.动态分析.内存镜像分析对比 0x1: Static Analysis Challenges . Time consuming…
Wikipedia: Sentiment analysis (also known as opinion mining) refers to the use of natural language processing, text analysis and computational linguistics to identify and extract subjective information in source materials. In 1997, firstly proposed b…
IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM) 2014 Industry Track Call for Papers * Apologies if you received multiple copies of this CFP * Beijing China August 17-20, 2014Home Page: www.asonam2014.org F…
原理 计算方法 主要性质 有关统计量 主成分个数的选取 ------------------------------------------------------------------------------------------------------------------------ http://my.oschina.net/gujianhan/blog/225241 ---------------------------------------------------------…
NoteBook of <Data Analysis with Python> 3.IPython基础 Tab自动补齐 变量名 变量方法 路径 解释 ?解释, ??显示函数源码 ?搜索命名空间 %run命令 %run 执行所有文件 %run -i 访问变量 Ctrl-C中断执行 %paste可以粘贴剪切板的一切文本 一般使用%cpaste因为可以改 键盘快捷键 魔术命令 %timeit 检测任意语句的执行时间 %magic显示魔术命令的详细文档 %xdel v 删除变量,并清除其一切引用 注册…
Data Analysis with Python ch02 一些有趣的数据分析结果 Male描述的是美国新生儿男孩纸的名字的最后一个字母的分布 Female描述的是美国新生儿女孩纸的名字的最后一个字母的分布…
假如你有一个购物类的网站,那么你如何给你的客户来推荐产品呢?这个功能在很多电商类网站都有,那么,通过SQL Server Analysis Services的数据挖掘功能,你也可以轻松的来构建类似的功能. 上一篇中介绍的是如何通过DMX来创建挖掘模型,这一篇讲简单介绍如何通过编程的方式来创建挖掘模型. 通过编程的方式主要通过AMO来实现,分析服务的所有跟架构相关的实现,包括多维数据集和数据挖掘,都通过这个接口实现. AMO对象树包含了支持多维数据集和数据挖掘所有的对象模型,在我这篇随笔中可以详细…
I collect and make up this pseudocode from the book: <<Introduction to the Design and Analysis of Algorithms_Second Edition>> _ Anany LevitinNote that throughout the paper, we assume that inputs to algorithms fall within their specified ranges…
I collect and make up this pseudocode from the book: <<Introduction to the Design and Analysis of Algorithms_Second Edition>> _ Anany Levitin Note that throughout the paper, we assume that inputs to algorithms fall within their specified range…
I collect and make up this pseudocode from the book: <<Introduction to the Design and Analysis of Algorithms_Second Edition>> _ Anany LevitinNote that throughout the paper, we assume that inputs to algorithms fall within their specified ranges…
I collect and make up this pseudocode from the book: <<Introduction to the Design and Analysis of Algorithms_Second Edition>> _ Anany LevitinNote that throughout the paper, we assume that inputs to algorithms fall within their specified ranges…
原文地址:http://blog.sina.com.cn/s/blog_4b764640010168ru.html   这是自己最近做的一个例子,一是为了感谢okok论坛给与我的很大的帮助,二是起到抛砖引玉的作用.因为我觉得这个技术是很有用的,特别是对于计算时间特别长的模型,可以分成几段计算,这可以避免由于意外中断等原因重复以前的计算工作.下面时我的命令流(经过验证与没有使用重启动分析结果完全一致):finish/clear,nostart  !/config,nres,2000/CWD,'E:…
1.4. Damping: https://www.sharcnet.ca/Software/Ansys/15.0.7/en-us/help/ans_str/Hlp_G_STR1D.html 8.7. Performing a Nonlinear Transient Analysis: https://www.sharcnet.ca/Software/Ansys/15.0.7/en-us/help/ans_str/Hlp_G_STR8_8.html 5.3. Performing a Full…
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Assembler : The Basics In Reversing Indeed: the basics!! This is all far from complete but covers about everything you need to know about assembler to start on your reversing journey! Assembler is the start and the end of all programming languages. A…
我理解PCA应该分为2个过程:1.求出降维矩阵:2.利用得到的降维矩阵,对数据/特征做降维. 这里分成了两篇博客,来做总结. http://matlabdatamining.blogspot.com/2010/02/principal-components-analysis.html 英文Principal Components Analysis的博客,这种思路挺好,但是有2处写错了,下面有标注. http://www.cnblogs.com/denny402/p/4020831.html 这个…
三种数据结构实现的LRU对比分析: 自适应循环链表, 跳表 和 伸展树 对比发现 : 跳表比其他两个会好一些(命中率) 来自论文 Performance Analysis of LRU…