Data Science in Practice

Buch | Hardcover

VIII, 195 Seiten

2018
Springer International Publishing (Verlag)
978-3-319-97555-9 (ISBN)

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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.

Artificial intelligence.- Machine learning: a concise overview.- Information fusion.- Information retrieval & recommender systems.- Business intelligence.- Data privacy.- Visual data analysis.- Complex data analysis.- Big data programming with Apache Spark.

Erscheinungsdatum	29.09.2018
Reihe/Serie	Studies in Big Data
Zusatzinfo	VIII, 195 p. 43 illus., 15 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	463 g
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
	Technik
Schlagworte	Applied Data Science • Big Data • Computational Intelligence • Data Science applications • Intelligent Systems
ISBN-10	3-319-97555-2 / 3319975552
ISBN-13	978-3-319-97555-9 / 9783319975559
Zustand	Neuware