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DATA SCIENCE FOUNDATIONS: GEOMETRY AND TOPOLOGY OF COMPLEX HIERARCHIC SYSTEMS AND BIG DATA ANALYTIC

By: Material type: TextTextPublication details: US CRC PRESS 2018Description: xviii, 205ISBN:
  • 978-1-4987-6393-6
Subject(s): DDC classification:
  • 005.701514/MUR
Summary: Data Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. It includes a wide range of case studies from diverse fields, and seeks to inspire and motivate the reader with respect to data, associated information, and derived knowledge.
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Item type Current library Collection Call number Status Notes Date due Barcode
Books Books Symbiosis Institute of Computer Studies and Research Python Reference 005.701514/MUR (Browse shelf(Opens below)) Available MATHEMATICAL ANALYSIS, SPATIAL ANALYSIS (STATISTICS), QUANTITATIVE RESEARCH, BIG DATA - MATHEMATICS. SICSR-B-19521
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005.701514/MUR DATA SCIENCE FOUNDATIONS: GEOMETRY AND TOPOLOGY OF COMPLEX HIERARCHIC SYSTEMS AND BIG DATA ANALYTIC

Data Science encompasses the traditional disciplines of mathematics, statistics, data analysis, machine learning, and pattern recognition. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. It includes a wide range of case studies from diverse fields, and seeks to inspire and motivate the reader with respect to data, associated information, and derived knowledge.

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