Making Sense of Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Making Sense of Data

简体网页||繁体网页
Glenn J. Myatt 作者
John Wiley and Sons Ltd
译者
2006-11-1 出版日期
292 页数
$79.95 价格
Paperback
丛书系列
9780470074718 图书编码

Making Sense of Data 在线电子书 图书标签: 数据分析  DataMining  计算机  英文版  Visualization  放下  思维  商业   


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发表于2024-11-22


Making Sense of Data 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Making Sense of Data 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Making Sense of Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Making Sense of Data 在线电子书 用户评价

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在coursera上听课 Core Concepts in Data Analysis,跟到了这本参考书,技术性其实不强,数学也不深,但是思维方法可资参考。

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在coursera上听课 Core Concepts in Data Analysis,跟到了这本参考书,技术性其实不强,数学也不深,但是思维方法可资参考。

评分

在coursera上听课 Core Concepts in Data Analysis,跟到了这本参考书,技术性其实不强,数学也不深,但是思维方法可资参考。

评分

在coursera上听课 Core Concepts in Data Analysis,跟到了这本参考书,技术性其实不强,数学也不深,但是思维方法可资参考。

评分

在coursera上听课 Core Concepts in Data Analysis,跟到了这本参考书,技术性其实不强,数学也不深,但是思维方法可资参考。

Making Sense of Data 在线电子书 著者简介


Making Sense of Data 在线电子书 图书目录


Making Sense of Data 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Making Sense of Data 在线电子书 图书描述

A practical, step-by-step approach to making sense out of data

Making Sense of Data educates readers on the steps and issues that need to be considered in order to successfully complete a data analysis or data mining project. The author provides clear explanations that guide the reader to make timely and accurate decisions from data in almost every field of study. A step-by-step approach aids professionals in carefully analyzing data and implementing results, leading to the development of smarter business decisions. With a comprehensive collection of methods from both data analysis and data mining disciplines, this book successfully describes the issues that need to be considered, the steps that need to be taken, and appropriately treats technical topics to accomplish effective decision making from data.

Readers are given a solid foundation in the procedures associated with complex data analysis or data mining projects and are provided with concrete discussions of the most universal tasks and technical solutions related to the analysis of data, including:

* Problem definitions

* Data preparation

* Data visualization

* Data mining

* Statistics

* Grouping methods

* Predictive modeling

* Deployment issues and applications

Throughout the book, the author examines why these multiple approaches are needed and how these methods will solve different problems. Processes, along with methods, are carefully and meticulously outlined for use in any data analysis or data mining project.

From summarizing and interpreting data, to identifying non-trivial facts, patterns, and relationships in the data, to making predictions from the data, Making Sense of Data addresses the many issues that need to be considered as well as the steps that need to be taken to master data analysis and mining.

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