Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics (Chapman & Hall/CRC Computer Science & Data Analysis)
| Author | : | |
| Rating | : | 4.72 (530 Votes) |
| Asin | : | 1498763936 |
| Format Type | : | paperback |
| Number of Pages | : | 224 Pages |
| Publish Date | : | 2017-10-20 |
| Language | : | English |
DESCRIPTION:
"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of…quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods…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. It is written in an accessible style, for readers who are engaged with the subject but not necessarily experts in all aspects. This book is designed to provide a new framework for Data Science, based on a solid foundation in mathematics and computational science. 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.
This book is also quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods…Geometry, topology, metric mapping, random projections, and applications to chemical analysis data challenge the reader out of the comfort zone of superficial data analytics methods. Murtagh presents the geometric ideas of metric and ultrametric spaces in a very innovative way, quite different to the more formal and dry mathematical presentations of these types of concepts. The book contains m
He then worked for a dozen years on the Hubble Space Telescope, as a European Space Agency Senior Scientist. Fionn Murtagh's very first post after his PhD was educational research at a national level, followed by nuclear energy risk assessment. . Following many Professor of Computer Science positions, teaching and research, and senior management positions in Ireland, Franc