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Harnessing the power of analytics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Harnessing the power of analyticsby Leila Halawi, Amal Clarke, Kelly George.
作者:	Halawi, Leila.
其他作者:	Clarke, Amal.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	viii, 150 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Predictive analytics.
電子資源:	https://doi.org/10.1007/978-3-030-89712-3
ISBN:	9783030897123$q(electronic bk.)

Harnessing the power of analytics
Halawi, Leila.

Harnessing the power of analytics[electronic resource] /by Leila Halawi, Amal Clarke, Kelly George. - Cham :Springer International Publishing :2022. - viii, 150 p. :ill. (chiefly col.), digital ;24 cm.

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.

ISBN: 9783030897123$q(electronic bk.)

Standard No.: 10.1007/978-3-030-89712-3doiSubjects--Topical Terms:

877232
Predictive analytics.

LC Class. No.: QA76.9.Q36 / H35 2022

Dewey Class. No.: 001.42

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520 $a 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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