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Data science for business :[what you...

Fawcett, Tom.

Data science for business :[what you need to know about data mining and data-analytic thinking] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.312
書名/作者:	Data science for business : : [what you need to know about data mining and data-analytic thinking] // Foster Provost and Tom Fawcett.
其他題名:	What you need to know about data mining and data-analytic thinking
作者:	Provost, Foster,
其他作者:	Fawcett, Tom.
出版者:	Sebastopol, Calif. : : O'Reilly,, 2013.
面頁冊數:	xxi, 386 p. : : ill. ;; 24 cm.
附註:	Subtitle from cover.
標題:	Data mining.
標題:	Big data.
標題:	Information science.
標題:	Business - Data processing.
標題:	Data Mining.
標題:	Information Science.
標題:	Commerce.
標題:	Automatic Data Processing.
ISBN:	9781449361327 (pbk.) :
ISBN:	1449361323 (pbk.)
書目註:	Includes bibliographical references (p. 361-368) and index.
內容註:	Introduction : data-analytic thinking -- Business problems and data science solutions -- Introduction to predictive modeling : from correlation to supervised segmentation -- Fitting a model to data -- Overfitting and its avoidance -- Similarity, neighbors, and clusters -- Decision analytic thinking I : what is a good model? -- Visualizing model performance -- Evidence and probabilities -- Representing and mining text -- Decision analytic thinking II : toward analytical engineering -- Other data science tasks and techniques -- Data science and business strategy -- Conclusion.
摘要、提要註:	Provides an introduction to the fundamental principles of data science, walking the reader through the "data-analytic thinking" necessary for extracting useful knowledge and business value from collected data.

Data science for business :[what you need to know about data mining and data-analytic thinking] /
Provost, Foster,1964-

Data science for business :[what you need to know about data mining and data-analytic thinking] /What you need to know about data mining and data-analytic thinkingFoster Provost and Tom Fawcett. - 1st ed. - Sebastopol, Calif. :O'Reilly,2013. - xxi, 386 p. :ill. ;24 cm.

Subtitle from cover.

Includes bibliographical references (p. 361-368) and index.

Introduction : data-analytic thinking -- Business problems and data science solutions -- Introduction to predictive modeling : from correlation to supervised segmentation -- Fitting a model to data -- Overfitting and its avoidance -- Similarity, neighbors, and clusters -- Decision analytic thinking I : what is a good model? -- Visualizing model performance -- Evidence and probabilities -- Representing and mining text -- Decision analytic thinking II : toward analytical engineering -- Other data science tasks and techniques -- Data science and business strategy -- Conclusion.

Provides an introduction to the fundamental principles of data science, walking the reader through the "data-analytic thinking" necessary for extracting useful knowledge and business value from collected data.

ISBN: 9781449361327 (pbk.) :NTD 1,285Subjects--Topical Terms:

337740
Data mining.

LC Class. No.: QA76.9.D343 / P76 2013

Dewey Class. No.: 006.312

Data science for business :[what you need to know about data mining and data-analytic thinking] /
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