Statistical data science

As an emerging discipline, data science broadly means different things across different areas. Exploring the relationship of data science with statistics, a well-established and principled data-analytic discipline, this book provides insights about commonalities in approach, and differences in empha...

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Bibliographic Details
Other Authors: Adams, Niall M. (Editor), Cohen, Edward (Editor)
Format: Book
Language:English
Published: Singapore World Scientific Publishing Co. 2018
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MARC

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020 |a 9781786345394 (hardcover) 
020 |a 1786345390 (hardcover) 
039 9 |a 202211041221  |b VLOAD  |c 201910031423  |d johari  |y 201904171117  |z helmey 
040 |a UPNM  |b eng  |c UPNM  |e rda 
090 |a QA 76.9.D343  |b S737 2018 
245 0 0 |a Statistical data science  |c editors Niall Adams, Ed Cohen. 
264 1 |a Singapore  |b World Scientific Publishing Co.  |c 2018 
300 |a x, 182 pages  |b illustrations (some color)  |c 24 cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
520 |a As an emerging discipline, data science broadly means different things across different areas. Exploring the relationship of data science with statistics, a well-established and principled data-analytic discipline, this book provides insights about commonalities in approach, and differences in emphasis. Featuring chapters from established authors in both disciplines, the book also presents a number of applications and accompanying papers. 
592 |a 37495  |b 01/08/2019  |c RM 348.37  |h Bookline 
650 0 |a Data mining. 
650 0 |a Mathematical statistics. 
700 1 |a Adams, Niall M.,  |e editor. 
700 1 |a Cohen, Edward,  |e editor. 
999 |a vtls000063884  |c 52008  |d 52008