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Data smart :using data science to tr...

Foreman, John W.,

Data smart :using data science to transform information into insight /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data smart :John W. Foreman.
其他題名:	using data science to transform information into insight /
作者:	Foreman, John W.,
出版者:	Hoboken, New Jersey :John Wiley & Sons,c2014.
面頁冊數:	xx, 409 p. :ill. ;24 cm.
附註:	Companion website.
附註:	Includes index.
標題:	Data mining.
電子資源:	http://www.loc.gov/catdir/enhancements/fy1513/2013946768-t.html
電子資源:	http://www.loc.gov/catdir/enhancements/fy1513/2013946768-b.html
ISBN:	111866146X (pbk.)

Data smart :using data science to transform information into insight /
Foreman, John W.,

Data smart :using data science to transform information into insight /John W. Foreman. - Hoboken, New Jersey :John Wiley & Sons,c2014. - xx, 409 p. :ill. ;24 cm.

Companion website.

Everything you ever needed to know about spreadsheets but were too afraid to ask -- Cluster analysis part I : using K-means to segment your customer base -- Naïve Bayes and the incredible lightness of being an idiot -- Optimization modeling : because that "fresh squeezed" orange juice ain’t gonna blend itself -- Cluster analysis part II : network graphs and community detection -- The granddaddy of supervised artificial intelligence : regression -- Ensemble models : a whole lot of bad pizza -- Forecasting : breathe easy; you can’t win -- Outlier detection : just because they’re odd doesn’t mean they’re unimportant -- Moving from spreadsheets into R -- Conclusion.

"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."--

ISBN: 111866146X (pbk.)

LCCN: 2013946768

Nat. Bib. No.: GBB382613bnb

Nat. Bib. Agency Control No.: 016494921UkSubjects--Topical Terms:

184440
Data mining.

LC Class. No.: QA76.9.D343 / F67 2014

Dewey Class. No.: 006.31

Data smart :using data science to transform information into insight /
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300 $a xx, 409 p. : $b ill. ; $c 24 cm.
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500 $a Includes index.
505 0 $a Everything you ever needed to know about spreadsheets but were too afraid to ask -- Cluster analysis part I : using K-means to segment your customer base -- Naïve Bayes and the incredible lightness of being an idiot -- Optimization modeling : because that "fresh squeezed" orange juice ain’t gonna blend itself -- Cluster analysis part II : network graphs and community detection -- The granddaddy of supervised artificial intelligence : regression -- Ensemble models : a whole lot of bad pizza -- Forecasting : breathe easy; you can’t win -- Outlier detection : just because they’re odd doesn’t mean they’re unimportant -- Moving from spreadsheets into R -- Conclusion.
520 $a "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."-- $c Publisher’s description.
650 0 $a Data mining. $3 184440
856 4 1 $3 Table of contents only $u http://www.loc.gov/catdir/enhancements/fy1513/2013946768-t.html
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