Principles and practice of big data : preparing, sharing, and analyzing complex information

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on la...

Full description

Saved in:
Bibliographic Details
Main Author: Berman, Jules J., (Author)
Format: eBook
Language: English
Published: London : Academic Press, [2018]
Edition: Second edition.
Subjects:
ISBN: 9780128156100
9780128156094
Physical Description: 1 online zdroj.

Cover

Table of contents

LEADER 03094cam a2200493 i 4500
001 92237
003 CZ ZlUTB
005 20201216135357.0
006 m o d
007 cr |n
008 180726s2018 enka fo 001 0 eng d
999 |c 92237  |d 92237 
020 |a 9780128156100  |q (ebook) 
020 |z 9780128156094 
035 |a (OCoLC)1046065689  |z (OCoLC)1046606897 
040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d N$T  |d OPELS  |d EBLCP  |d YDX  |d OCLCF  |d NLE  |d UPM  |d AAA  |d UKMGB  |d U3W  |d CUY  |d LVT 
072 7 |a 004.4/.6  |x Programování. Software  |2 Konspekt  |9 23 
080 |a 004.6-022.257  |2 MRF 
080 |a (048.8)  |2 MRF 
080 |a (0.034.2:08)  |2 MRF 
100 1 |a Berman, Jules J.,  |e author. 
245 1 0 |a Principles and practice of big data :  |b preparing, sharing, and analyzing complex information /  |c Jules J. Berman. 
250 |a Second edition. 
264 1 |a London :  |b Academic Press,  |c [2018] 
264 4 |c ©2018 
300 |a 1 online zdroj. 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
504 |a Obsahuje bibliografické odkazy a index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
520 |a Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines.- Resumé vydavatel 
588 0 |a Vendor-supplied metadata. 
590 |a eBooks on EBSCOhost  |b All EBSCO eBooks 
650 0 7 |a big data  |7 ph836790  |2 czenas 
650 0 9 |a big data  |2 eczenas 
655 7 |a monografie  |7 fd132842  |2 czenas 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a monographs  |2 eczenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a Berman, Jules J.  |t Principles and practice of big data.  |b Second edition.  |d Oxford, UK : Academic Press is an imprint of Elsevier, [2018]  |z 9780128156094  |w (OCoLC)1032020970 
856 4 0 |u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1731816&authtype=ip,shib&custid=s3936755  |y Plný text 
942 |2 udc 
992 |c EBOOK-TN  |c EBSCO