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Harnessing the Power of Analytics / by Leila Halawi, Amal Clarke, Kelly George.

By: Halawi, Leila, autor
Contributor(s): Clarke, Amal, autor | George, Kelly, autor
Material type: materialTypeLabelE-bookPublisher: Cham : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (VIII, 150 páginas) : 106 ilustraciones, 90 ilustraciones a color.ISBN: 9783030897123.Subject: Sistemas de ayuda a la decisión | Sistemas de información en la gestión | Data miningOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
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 Deployment.
Summary: This 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9.D343 2022 EB (Browse shelf(Opens below)) Acceso electrónico eBook.01042334
Total holds: 0

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 Deployment.

This 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.

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