Data Smart: Using Data Science to Transform Information into Insight


Data Smart: Using Data Science to Transform Information into Insight
by John W. Foreman
pages 页数: 432 pages
Publisher Finelybook 出版社: John Wiley & Sons; 1 edition (22 Nov. 2013)
Language 语言: English
ISBN-10 书号:111866146X
ISBN-13 书号:9781118661468
Data Science gets thrown around in the press like it′s magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It′s a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions.
But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope.
Data science is little more than using straight–forward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will show you how that′s done within the familiar environment of a spreadsheet.
Why a spreadsheet? It′s comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor–neutral place to learn data science without the hype.
But don′t let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data.
Each chapter will cover a different technique in a spreadsheet so you can follow along:
Mathematical optimization, including non–linear programming and genetic algorithms
Clustering via k–means, spherical k–means, and graph modularity
Data mining in graphs, such as outlier detection
Supervised AI through logistic regression, ensemble models, and bag–of–words models
Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation
Moving from spreadsheets into the R programming language
You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You′ll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know.
数据科学在新闻中被抛在脑海里,就像魔术一样。主要零售商正在预测从客户怀孕期间到想要一对新的查克·泰勒(Chuck Taylors)的一切。这是一个勇敢的新世界,看似无意义的数据可以转化为有价值的洞察力,以推动聪明的业务决策。
但是如何做数据科学呢?你必须雇用这些黑社会的祭司之一“数据科学家”,从你的数据中提取这个黄金?不。
数据科学只是使用直接的步骤将原始数据处理为可操作的洞察力。而在Data Smart中,作者和数据科学家John Foreman将向您展示如何在电子表格的熟悉环境中完成此工作。
为什么是电子表格?很舒服你可以看看数据的每一步,建立信心,当你学习交易的技巧。此外,电子表格是一个供应商中立的地方,无需炒作即可学习数据科学。
但是不要让Excel表愚弄你。这是一本关于学习分析技术,数学和魔术的认真的书,背后是大数据。
每章将介绍电子表格中的不同技术,以便您可以遵循:
数学优化,包括非线性规划和遗传算法
通过k均值聚类,球面k均值和图形模块化
图形中的数据挖掘,如异常值检测
通过逻辑回归,集合模型和单词模型来监督AI
通过蒙特卡罗模拟预测,季节性调整和预测间隔
从电子表格转移到R编程语言
当您通过每种技术与约翰一起工作时,您的双手变脏。但不要害怕,这些话题很容易适用,而且作者在整个过程中都是幽默的。你甚至可以了解一只死亡松鼠与优化建模有关,而这种优化建模您无疑将会死亡。


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