Book Name: Data science in practice
Author: Said, Alan; Torra, Vicenç (eds.)
Publisher: Springer
ISBN-: 978-3-319-97555-9,3319975552,978-3-319-97556-6
Year: 2019
Pages: 195
Language: English
File size: 3 Mb
File format: PDF
We’ve grown accustomed to viewing such terms mentioned again and again from the mainstream press. However, our comprehension of what they really mean often remains restricted. This publication gives a general summary of the conditions and approaches used widely in data science, and Read more…
Abstract: This publication approaches big information, artificial intelligence, machine learning, and business intelligence throughout the lens of Data Science. We’ve grown accustomed to viewing such terms mentioned again and again from the mainstream press. However, our comprehension of what they really mean often remains restricted.
This publication gives a general summary of the conditions and approaches used widely in data science, and offers detailed advice on the underlying concepts, models, and application situations. Divided into three chief components, it addresses exactly what information science is; where and how it’s utilized; and also how it can be executed with modern open source program. The publication Provides a Vital guide to contemporary data science for many students, professionals, programmers and managers searching for a deeper Comprehension of how various facets of Information science work, and also of course how they can be utilized to gain a competitive edge.
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