Doing data science is difficult. Projects are typically very dynamic with requirements that change as data understanding grows. The data itself arrives piecemeal, is added to, replaced, contains undiscovered flaws and comes from a variety of sources. Teams also have mixed skill sets and tooling is often limited. Despite these disruptions, a data science team must get off the ground fast and begin demonstrating value with traceable, tested work products. This is when you need Guerrilla Analytics.
%0 Book
%1 Ridge14
%A Ridge, Enda
%C Amsterdam
%D 2014
%I Morgan Kaufmann
%K 01624 103 book acm elsevier ai enterprise database data pattern recognition analysis processing optimize information
%T Guerrilla Analytics: A Practical Approach to Working with Data
%U http://www.sciencedirect.com/science/book/9780128002186
%X Doing data science is difficult. Projects are typically very dynamic with requirements that change as data understanding grows. The data itself arrives piecemeal, is added to, replaced, contains undiscovered flaws and comes from a variety of sources. Teams also have mixed skill sets and tooling is often limited. Despite these disruptions, a data science team must get off the ground fast and begin demonstrating value with traceable, tested work products. This is when you need Guerrilla Analytics.
%@ 978-0-12-800218-6
@book{Ridge14,
abstract = {Doing data science is difficult. Projects are typically very dynamic with requirements that change as data understanding grows. The data itself arrives piecemeal, is added to, replaced, contains undiscovered flaws and comes from a variety of sources. Teams also have mixed skill sets and tooling is often limited. Despite these disruptions, a data science team must get off the ground fast and begin demonstrating value with traceable, tested work products. This is when you need Guerrilla Analytics.},
added-at = {2016-11-29T07:49:58.000+0100},
address = {Amsterdam},
author = {Ridge, Enda},
biburl = {https://www.bibsonomy.org/bibtex/21ecc2c80a58c80c466e09270c35284ee/flint63},
file = {ACM Learning Center eBook:2014/Ridge14.pdf:PDF;Amazon Search inside:http\://www.amazon.de/gp/reader/0128002182/:URL},
groups = {public},
interhash = {5d026c00402c3881c78bc93db22d71b3},
intrahash = {1ecc2c80a58c80c466e09270c35284ee},
isbn = {978-0-12-800218-6},
keywords = {01624 103 book acm elsevier ai enterprise database data pattern recognition analysis processing optimize information},
publisher = {Morgan Kaufmann},
timestamp = {2017-07-13T17:44:19.000+0200},
title = {Guerrilla Analytics: A Practical Approach to Working with Data},
url = {http://www.sciencedirect.com/science/book/9780128002186},
username = {flint63},
x-series = {Savvy Manager's Guides},
year = 2014
}