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
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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
