此网站花2大洋积分下载 所以特此免费分享给大伙 望以后共同创建免费资源社会
2019-12-21 21:26:11 4.8MB 完全免费
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Sanet.st.Feature Engineering Made Easy - Sinan Ozdemir.epub(正式版) 让特征工程变得简单正式版 This book will cover the topic of feature engineering. A huge part of the data science and machine learning pipeline, feature engineering includes the ability to identify, clean, construct, and discover new characteristics of data for the purpose of interpretation and predictive analysis. In this book, we will be covering the entire process of feature engineering, from inspection to visualization, transformation, and beyond. We will be using both basic and advanced mathematical measures to transform our data into a form that's much more digestible by machines and machine learning pipelines. By discovering and transforming, we, as data scientists, will be able to gain a whole new perspective on our data, enhancing not only our algorithms but also our insights.
2019-12-21 21:23:23 5.51MB 特征工程
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Feature Engineering Made Easy(2018.01).A4-低分分享-308页完整版本
2019-12-21 21:13:57 7.34MB Feature Engi
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This document may be used with the permission of Wi-Fi Alliance under the terms set forth herein. By your use of the document, you are agreeing to these terms. Unless this document is clearly designated as an approved specification, this document is a work in process and is not an approved Wi-Fi Alliance specification. This document is subject to revision or removal at any time without notice. Information contained in this document may be used at your sole risk. Wi-Fi Alliance assumes no responsibility for errors or omissions in this document. This copyright permission does not constitute an endorsement of the products or services. Wi-Fi Alliance trademarks and certification marks may not be used unless specifically allowed by Wi-Fi Alliance.
2019-12-21 21:13:27 940KB easy mesh
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威斯康辛大学研究生操作系统课本,但其实适合具有一般英语水平的本科生阅读,因为全书对词汇量要求不多,且生动有趣。 本书已带完美版书签
2019-12-21 21:12:42 7.9MB 操作系统
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html2excel支持宽度 边框 合并单元格 html2word支持宽度 边框 合并单元格 html2pdf 支持宽度 边框 合并单元格 另外还支持背景颜色
2019-12-21 21:05:14 23.39MB html2excel html2word
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jquery easy ui edatagrid 动态编辑表格 下拉框 联动 ,支持增加,编辑,删除行,日期狂,下拉框联动显示数据,测试ok
2019-12-21 21:02:45 6KB jquery edatagrid 动态编辑表格
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The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends. R for Data Analysis in easy steps has an easy-to-follow style that will appeal to anyone who wants to produce graphic visualizations to gain insights from gathered data. R for Data Analysis in easy steps begins by explaining core programming principles of the R programming language, which stores data in “vectors” from which simple graphs can be plotted. Next, the book describes how to create “matrices” to store and manipulate data from which graphs can be plotted to provide better insights. This book then demonstrates how to create “data frames” from imported data sets, and how to employ the “Grammar of Graphics” to produce advanced visualizations that can best illustrate useful insights from your data. R for Data Analysis in easy steps contains separate chapters on the major features of the R programming language. There are complete example programs that demonstrate how to create Line graphs, Bar charts, Histograms, Scatter graphs, Box plots, and more. The code for each R script is listed, together with screenshots that illustrate the actual output when that script has been executed. The free, downloadable example R code is provided for clearer understanding. By the end of this book you will have gained a sound understanding of R programming, and be able to write your own scripts that can be executed to produce graphic visualizations for data analysis. You need have no previous knowledge of any programming language, so it's ideal for the newcomer to computer programming. Table of Contents Chapter 1 Getting Started Chapter 2 Storing Values Chapter 3 Performing Operations Chapter 4 Testing Conditions Chapter 5 Employing Functions Chapter 6 Building Matrices Chapter 7 Constructin
2019-12-21 20:59:15 10.96MB R Data Analysis
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Operating Systems-Three Easy Pieces 1.0版,操作系统参考教材,带书签,
2019-12-21 20:49:46 5.01MB 操作系统
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W3CSchool_made by unregistered version of easy chm
2019-12-21 20:41:28 4.8MB W3CSchool
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