Data Science in Practice

✍ Scribed by Alan Said, Vicenç Torra

Publisher: Springer International Publishing
Year: 2019
Tongue: English
Leaves: 199
Series: Studies in Big Data 46
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book approaches big data, artificial intelligence, machine learning, and business intelligence through the lens of Data Science. We have grown accustomed to seeing these terms mentioned time and time again in the mainstream media. However, our understanding of what they actually mean often remains limited. This book provides a general overview of the terms and approaches used broadly in data science, and provides detailed information on the underlying theories, models, and application scenarios. Divided into three main parts, it addresses what data science is; how and where it is used; and how it can be implemented using modern open source software. The book offers an essential guide to modern data science for all students, practitioners, developers and managers seeking a deeper understanding of how various aspects of data science work, and of how they can be employed to gain a competitive advantage.

✦ Table of Contents

Front Matter ....Pages i-viii
Data Science: An Introduction (Alan Said, Vicenç Torra)....Pages 1-6
Front Matter ....Pages 7-7
Artificial Intelligence (Vicenç Torra, Alexander Karlsson, H. Joe Steinhauer, Stefan Berglund)....Pages 9-26
Machine Learning: A Concise Overview (Denio Duarte, Niclas Ståhl)....Pages 27-58
Front Matter ....Pages 59-59
Information Fusion (H. Joe Steinhauer, Alexander Karlsson)....Pages 61-78
Information Retrieval and Recommender Systems (Alejandro Bellogín, Alan Said)....Pages 79-96
Business Intelligence (Carl Anderson)....Pages 97-118
Front Matter ....Pages 119-119
Data Privacy (Vicenç Torra, Guillermo Navarro-Arribas, Klara Stokes)....Pages 121-132
Visual Data Analysis (Juhee Bae, Göran Falkman, Tove Helldin, Maria Riveiro)....Pages 133-155
Complex Data Analysis (Juhee Bae, Alexander Karlsson, Jonas Mellin, Niclas Ståhl, Vicenç Torra)....Pages 157-169
Big Data programming with Apache Spark (Elio Ventocilla)....Pages 171-194
Back Matter ....Pages 195-195

✦ Subjects

Engineering; Computational Intelligence; Big Data/Analytics; Data Mining and Knowledge Discovery

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