Harnessing the Power of Analytics [electronic resource] / by Leila Halawi, Amal Clarke, Kelly George.

By:

Halawi, Leila [author.]

Contributor(s):

Material type: Text

TextLanguage: İngilizce Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022Description: 1 online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030897123

Subject(s):

LOC classification:

QA76.9.Q36

Online resources:

Springer eBooks Online access link to the resource

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	Home library	Collection	Call number	Copy number	Status	Notes	Date due	Barcode
E-Book	Merkez Kütüphane	Merkez Kütüphane	E-Kitap Koleksiyonu	QA76.9.Q36EBK (Browse shelf(Opens below))	1	Geçerli değil-e-Kitap / Not applicable-e-Book			EBK03128

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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