02369nam 2200421 450 991052257060332120220921173331.03-030-89712-5(MiAaPQ)EBC6877413(Au-PeEL)EBL6877413(CKB)21048057100041(EXLCZ)992104805710004120220921d2022 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierHarnessing the power of analytics /Leila Halawi, Amal Clarke and Kelly GeorgeCham, Switzerland :Springer,[2022]©20221 online resource (153 pages) illustrations (chiefly color)Print version: Halawi, Leila Harnessing the Power of Analytics Cham : Springer International Publishing AG,c2022 9783030897116 Chapter 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 DeploymentThis 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.Predictive analyticsPredictive analytics.001.42Halawi Leila1082007Clarke AmalGeorge KellyMiAaPQMiAaPQMiAaPQBOOK9910522570603321Harnessing the Power of Analytics2596917UNINA