Frontiers in Data Science Frontiers in Data Science
    • $59.99

Publisher Description

Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone.

GENRE
Computers & Internet
RELEASED
2017
October 16
LANGUAGE
EN
English
LENGTH
383
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
8.6
MB

More Books Like This

Big, Open and Linked Data Big, Open and Linked Data
2022
Data Science and Social Research II Data Science and Social Research II
2020
Open and Big Data Management and Innovation Open and Big Data Management and Innovation
2015
Electronic Government Electronic Government
2022
Digital Transformation and Global Society Digital Transformation and Global Society
2018
Big Data for Insurance Companies Big Data for Insurance Companies
2018

More Books by Matthias Dehmer & Frank Emmert-Streib

Elements of Data Science, Machine Learning, and Artificial Intelligence Using R Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
2023
Modern and Interdisciplinary Problems in Network Science Modern and Interdisciplinary Problems in Network Science
2018
Entrepreneurial Complexity Entrepreneurial Complexity
2019
Big Data of Complex Networks Big Data of Complex Networks
2016
Graph Polynomials Graph Polynomials
2016
Computational Network Analysis with R Computational Network Analysis with R
2016

Other Books in This Series

Data Driven Approaches for Healthcare Data Driven Approaches for Healthcare
2019
Smart Data Smart Data
2019
Big Data in Complex and Social Networks Big Data in Complex and Social Networks
2016
Big Data Analytics Big Data Analytics
2017
Big Data Computing Big Data Computing
2016
Big Data of Complex Networks Big Data of Complex Networks
2016