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Data Science for Business : what You Need to Know about Data Mining and Data-Analytic Thinking

By: Contributor(s): Publication details: Mumbai, O'Reilly, Shroff Publishers and Distributors Pvt. Ltd 2024. Description: xviii, 384p. 20 cmISBN:
  • 9789351102670
Subject(s): DDC classification:
  • 005.74 PRO
Summary: 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.
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Item type Current library Home library Collection Call number Status Date due Barcode
Text Book Text Book Chanakya University Knowledge Centre Chanakya University Knowledge Centre Chanakya University Knowledge Centre Chanakya University 005.74 PRO (Browse shelf(Opens below)) Available CU11061
Text Book Text Book Chanakya University Knowledge Centre Chanakya University Knowledge Centre Chanakya University Knowledge Centre Chanakya University 005.74 PRO (Browse shelf(Opens below)) Available CU11062

Includes Index.

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.

Chanakya University Purchase 16-04-2025

English

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