Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics
β Scribed by Fionn Murtagh
- Publisher
- Chapman and Hall/CRC
- Year
- 2017
- Tongue
- English
- Leaves
- 224
- Series
- Chapman & Hall/CRC Computer Science & Data Analysis
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need ofβ¦quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methodsβ¦a very useful text and I would certainly use it in my teaching."
- Mark Girolami, Warwick University
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.
β¦ Subjects
Data Mining;Databases & Big Data;Computers & Technology;Data Processing;Databases & Big Data;Computers & Technology;Probability & Statistics;Applied;Mathematics;Science & Math;Database Storage & Design;Computer Science;New, Used & Rental Textbooks;Specialty Boutique;Statistics;Mathematics;Science & Mathematics;New, Used & Rental Textbooks;Specialty Boutique
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