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001444115 001__ 1444115
001444115 003__ OCoLC
001444115 005__ 20230310003653.0
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001444115 008__ 220202s2022\\\\sz\a\\\\ob\\\\000\0\eng\d
001444115 019__ $$a1294918836$$a1295275178$$a1296430817$$a1296666448
001444115 020__ $$a9783030897123$$q(electronic bk.)
001444115 020__ $$a3030897125$$q(electronic bk.)
001444115 020__ $$z9783030897116
001444115 020__ $$z3030897117
001444115 0247_ $$a10.1007/978-3-030-89712-3$$2doi
001444115 035__ $$aSP(OCoLC)1294830965
001444115 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dDKU$$dEBLCP$$dOCLCO$$dOCLCF$$dN$T$$dUKAHL$$dOCLCQ
001444115 049__ $$aISEA
001444115 050_4 $$aQA76.9.Q36$$bH35 2022
001444115 08204 $$a001.4/2$$223
001444115 1001_ $$aHalawi, Leila,$$eauthor.
001444115 24510 $$aHarnessing the power of analytics /$$cLeila Halawi, Amal Clarke, Kelly George.
001444115 264_1 $$aCham :$$bSpringer,$$c[2022]
001444115 264_4 $$c©2022
001444115 300__ $$a1 online resource :$$billustrations (chiefly color).
001444115 336__ $$atext$$btxt$$2rdacontent
001444115 337__ $$acomputer$$bc$$2rdamedia
001444115 338__ $$aonline resource$$bcr$$2rdacarrier
001444115 347__ $$atext file$$bPDF$$2rda
001444115 504__ $$aIncludes bibliographical references.
001444115 5050_ $$aChapter 1. Introduction to Analytics and Data Science -- Chapter 2. Data Types Structure & Data Preparation Process -- Chapter 3. Data Exploration and Data Visualization. Chapter 4. Evaluating Predictive Performance -- Chapter 5. Decision Trees & Ensemble -- Chapter 6. Regression Models -- Chapter 7. Neural Networks -- Chapter 8. Model Deployment.
001444115 506__ $$aAccess limited to authorized users.
001444115 520__ $$aThis text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different historical data, including aviation data and concrete data, interpreting the predictive models, and highlighting the steps to deploy the models and the steps ahead. The book combines the conceptual perspective and a hands-on approach to predictive analytics using SAS VIYA, an analytic and data management platform. The authors use SAS VIYA to focus on analytics to solve problems, highlight how analytics is applied in the airline and business environment, and compare several different modeling techniques. They decipher complex algorithms to demonstrate how they can be applied and explained within improving decisions.
001444115 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 18, 2022).
001444115 650_0 $$aPredictive analytics.
001444115 655_0 $$aElectronic books.
001444115 7001_ $$aClarke, Amal,$$eauthor.
001444115 7001_ $$aGeorge, Kelly,$$eauthor.
001444115 77608 $$iPrint version:$$z3030897117$$z9783030897116$$w(OCoLC)1269098027
001444115 852__ $$bebk
001444115 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89712-3$$zOnline Access$$91397441.1
001444115 909CO $$ooai:library.usi.edu:1444115$$pGLOBAL_SET
001444115 980__ $$aBIB
001444115 980__ $$aEBOOK
001444115 982__ $$aEbook
001444115 983__ $$aOnline
001444115 994__ $$a92$$bISE