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RSS订阅原创 win10-64bit Oracel 12c安装过程及遇到的问题
win10-64bit Oracel 12c安装过程及遇到的问题首先在oracle官网中注册一个账号并进入oracle数据库软件包下载页面选择与系统相匹配的包下载即可 把下载后的软件包进行解压， 如图二，点击“setup”，建议以管理员身份运行。 点击setup.exe进行安装先进入校验你的系统和硬件信息是否达到要求。 注：安装失败后重新安装，卸载Oracle 12c后记得把日志文件彻底删除。
2017-12-29 12:10:43
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kettle资料6本
1：Learning Pentaho CTools(PACKT,2016).pdf 2：Pentaho Data Integration Beginner's Guide, Second Edition.pdf 3：Packt.Pentaho for Big Data Analytics.2013.pdf 4：pentaho kettle solutions.pdf 5：[Packt Publishing] Pentaho 5.0 Reporting by Example Beginner's Guide.pdf 6：Pentaho+Data+Integration 这次是合集。
2017-09-01
现代编码理论
分享创造价值，开源促进创新。
作 者：赵晓群 著 丛 书 名：信息与通信工程研究生规划教材 出 版 社：华中科技大学出版社 ＩＳＢＮ：9787560944579 出版时间：2008-08-01 版 次：1 页 数：300 装 帧：平装 开 本：16开
2017-03-22
定性数据分析Categorical Data Analysis 2nd Edition - Agresti
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A valuable new edition of a standard reference
"A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis."
–Statistics in Medicine on Categorical Data Analysis, First Edition
The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. Responding to new developments in the field as well as to the needs of a new generation of professionals and students, this new edition of the classic Categorical Data Analysis offers a comprehensive introduction to the most important methods for categorical data analysis.
Designed for statisticians and biostatisticians as well as scientists and graduate students practicing statistics, Categorical Data Analysis, Second Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial regression for discrete data with normal regression for continuous data. Adding to the value in the new edition is coverage of:
Three new chapters on methods for repeated measurement and other forms of clustered categorical data, including marginal models and associated generalized estimating equations (GEE) methods, and mixed models with random effects
Stronger emphasis on logistic regression modeling of binary and multicategory data
An appendix showing the use of SAS for conducting nearly all analyses in the book
Prescriptions for how ordinal variables should be treated differently than nominal variables
Discussion of exact small-sample procedures
More than 100 analyses of real data sets to illustrate application of the methods, and more than 600 exercises
An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
2016-10-05
统计学基础：数据挖掘、推理与预测中英文版
《统计学习基础:数据挖掘、推理与预测》介绍了这些领域的一些重要概念。尽管应用的是统计学方法，但强调的是概念，而不是数学。许多例子附以彩图。《统计学习基础:数据挖掘、推理与预测》内容广泛，从有指导的学习（预测）到无指导的学习，应有尽有。包括神经网络、支持向量机、分类树和提升等主题，是同类书籍中介绍得最全面的。计算和信息技术的飞速发展带来了医学、生物学、财经和营销等诸多领域的海量数据。理解这些数据是一种挑战，这导致了统计学领域新工具的发展，并延伸到诸如数据挖掘、机器学习和生物信息学等新领域。许多工具都具有共同的基础，但常常用不同的术语来表达。
2015-09-10
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