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Data Science and Productivity Analytics - 9783030433864

Description: Data Science and Productivity Analytics Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Vincent Charles, Juan Aparicio, Joe Zhu Format: Paperback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030433864, 978-3030433864 Synopsis This book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of 'productivity analysis/data envelopment analysis' and 'data science/big data'. Data science is defined as the collection of scientific methods, processes, and systems dedicated to extracting knowledge or insights from data and it develops on concepts from various domains, containing mathematics and statistical methods, operations research, machine learning, computer programming, pattern recognition, and data visualisation, among others. Examples of data science techniques include linear and logistic regressions, decision trees, Naive Bayesian classifier, principal component analysis, neural networks, predictive modelling, deep learning, text analysis, survival analysis, and so on, all of which allow using the data to make more intelligent decisions. On the other hand, it is without a doubt that nowadays the amount of data is exponentially increasing, and analysing large data sets has become a key basis of competition and innovation, underpinning new waves of productivity growth. This book aims to bring a fresh look onto the various ways that data science techniques could unleash value and drive productivity from these mountains of data. Researchers working in productivity analysis/data envelopment analysis will benefit from learning about the tools available in data science/big data that can be used in their current research analyses and endeavours. The data scientists, on the other hand, will also get benefit from learning about the plethora of applications available in productivity analysis/data envelopment analysis.

Price: 104.23 GBP

Location: Aldershot

End Time: 2024-10-26T08:02:16.000Z

Shipping Cost: 31.93 GBP

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Data Science and Productivity Analytics - 9783030433864

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Book Title: Data Science and Productivity Analytics

Subject Area: Data Analysis

Item Height: 235 mm

Item Width: 155 mm

Series: International Series in Operations Research & Management Science

Author: Vincent Charles, Joe Zhu, Juan Aparicio

Publication Name: Data Science and Productivity Analytics

Format: Paperback

Language: English

Publisher: Springer Nature Switzerland A&G

Subject: Economics, Mathematics, Management

Publication Year: 2021

Type: Textbook

Item Weight: 688 g

Number of Pages: 439 Pages

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