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    Data Science in Practice

Data Science in Practice

Alan Said
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      FORMAT: Hardback

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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.
      Format: Hardback CONTRIBUTORS: Alan Said EAN: 9783319975559 COUNTRY: Switzerland PAGES: WEIGHT: 477 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2018-09-27 CITY: GENRE: BUSINESS & ECONOMICS / Industries / Computers & Information Technology, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Business mathematics and systems, Data mining, Artificial intelligence

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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.
      Format: Hardback CONTRIBUTORS: Alan Said EAN: 9783319975559 COUNTRY: Switzerland PAGES: WEIGHT: 477 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2018-09-27 CITY: GENRE: BUSINESS & ECONOMICS / Industries / Computers & Information Technology, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, TECHNOLOGY & ENGINEERING / Engineering (General) WIDTH: 155 cm SPINE:

      Book Themes:

      Business mathematics and systems, Data mining, Artificial intelligence

      Customer Reviews

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