LEADER 02369nam 2200421 450 001 9910522570603321 005 20220921173331.0 010 $a3-030-89712-5 035 $a(MiAaPQ)EBC6877413 035 $a(Au-PeEL)EBL6877413 035 $a(CKB)21048057100041 035 $a(EXLCZ)9921048057100041 100 $a20220921d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHarnessing the power of analytics /$fLeila Halawi, Amal Clarke and Kelly George 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$dİ2022 215 $a1 online resource (153 pages) $cillustrations (chiefly color) 311 08$aPrint version: Halawi, Leila Harnessing the Power of Analytics Cham : Springer International Publishing AG,c2022 9783030897116 327 $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 330 $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. 606 $aPredictive analytics 615 0$aPredictive analytics. 676 $a001.42 700 $aHalawi$b Leila$01082007 702 $aClarke$b Amal 702 $aGeorge$b Kelly 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910522570603321 996 $aHarnessing the Power of Analytics$92596917 997 $aUNINA