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Lädt ... Data Science (The MIT Press Essential Knowledge series)von John D. Kelleher
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It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects. Keine Bibliotheksbeschreibungen gefunden. |
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Google Books — Lädt ... GenresMelvil Decimal System (DDC)005.7Information Computing and Information Computer programming, programs, data, security DataKlassifikation der Library of Congress [LCC] (USA)BewertungDurchschnitt:
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It also made me question why this field is called "Data Science". The book doesn't really demonstrate how this discipline is a branch of science by any definition of that term (see, for example, Lee McIntyre's The Scientific Attitude for an exploration of what science is). ( )