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001446684 001__ 1446684
001446684 003__ OCoLC
001446684 005__ 20230310004012.0
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001446684 019__ $$a1317804248$$a1317836925$$a1318988206$$a1319214555
001446684 020__ $$a9783030938239$$q(electronic bk.)
001446684 020__ $$a3030938239$$q(electronic bk.)
001446684 020__ $$z9783030938222
001446684 020__ $$z3030938220
001446684 0247_ $$a10.1007/978-3-030-93823-9$$2doi
001446684 035__ $$aSP(OCoLC)1317324020
001446684 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dYDX$$dOCLCF$$dOCLCQ$$dUKAHL$$dOCLCQ
001446684 049__ $$aISEA
001446684 050_4 $$aHF5548.2
001446684 08204 $$a650.0285$$223/eng/20220524
001446684 24500 $$aBusiness analytics for professionals /$$cAlp Ustundag, Emre Cevikcan, Omer Faruk Beyca, editors.
001446684 260__ $$aCham :$$bSpringer,$$c2022.
001446684 300__ $$a1 online resource (488 pages)
001446684 336__ $$atext$$btxt$$2rdacontent
001446684 337__ $$acomputer$$bc$$2rdamedia
001446684 338__ $$aonline resource$$bcr$$2rdacarrier
001446684 4901_ $$aSpringer series in advanced manufacturing
001446684 5050_ $$aPART I: TBA -- Chapter 1. Business Analytics for Managers -- Chapter 2. Big Data Management and Technologies -- Chapter 3. Descriptive Analytics: Feature Engineering & Data Visualization -- Chapter 4. Predictive Analytics with Machine Learning -- Chapter 5. Neural Networks and Deep Learning -- Chapter 6. Handling Unstructured Data: Text Analytics and Image Analysis -- Chapter 7. Prescriptive Analytics: Optimization and Modelling -- PART II: TBA -- Chapter 8. Supply Chain Analytics -- Chapter 9. CRM & Marketing Analytics -- Chapter 10. Financial Analytics -- Chapter 11. Human Resources Analytics -- Chapter 12. Manufacturing Analytics.
001446684 506__ $$aAccess limited to authorized users.
001446684 520__ $$aThis book explains concepts and techniques for business analytics and demonstrate them on real life applications for managers and practitioners. It illustrates how machine learning and optimization techniques can be used to implement intelligent business automation systems. The book examines business problems concerning supply chain, marketing & CRM, financial, manufacturing and human resources functions and supplies solutions in Python.
001446684 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 24, 2022).
001446684 650_0 $$aBusiness$$xData processing.
001446684 650_0 $$aBig data.
001446684 650_0 $$aBusiness logistics.
001446684 655_0 $$aElectronic books.
001446684 7001_ $$aUstundag, Alp,$$d1977-
001446684 7001_ $$aCevikcan, Emre.
001446684 7001_ $$aBeyca, Omer Faruk.
001446684 77608 $$iPrint version:$$aUstundag, Alp.$$tBusiness Analytics for Professionals.$$dCham : Springer International Publishing AG, ©2022$$z9783030938222
001446684 830_0 $$aSpringer series in advanced manufacturing.
001446684 852__ $$bebk
001446684 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-93823-9$$zOnline Access$$91397441.1
001446684 909CO $$ooai:library.usi.edu:1446684$$pGLOBAL_SET
001446684 980__ $$aBIB
001446684 980__ $$aEBOOK
001446684 982__ $$aEbook
001446684 983__ $$aOnline
001446684 994__ $$a92$$bISE