Data Science Foundations

Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics

Nonfiction, Science & Nature, Mathematics, Applied, Statistics, Computers, Database Management
Cover of the book Data Science Foundations by Fionn Murtagh, CRC Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Fionn Murtagh ISBN: 9781315350493
Publisher: CRC Press Publication: September 22, 2017
Imprint: Chapman and Hall/CRC Language: English
Author: Fionn Murtagh
ISBN: 9781315350493
Publisher: CRC Press
Publication: September 22, 2017
Imprint: Chapman and Hall/CRC
Language: English

"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. 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

"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. 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.

More books from CRC Press

Cover of the book The Electronic Packaging Handbook by Fionn Murtagh
Cover of the book Production Management and Business Development by Fionn Murtagh
Cover of the book Frame-By-Frame Stop Motion by Fionn Murtagh
Cover of the book The Melanotropic Peptides by Fionn Murtagh
Cover of the book Organization of Prokaryotic Cell Membranes by Fionn Murtagh
Cover of the book Prevention of Accidents at Work by Fionn Murtagh
Cover of the book Property Development by Fionn Murtagh
Cover of the book Human-Computer Interface Technologies for the Motor Impaired by Fionn Murtagh
Cover of the book Card-Based Control Systems for a Lean Work Design by Fionn Murtagh
Cover of the book Hydrological Problems and Environmental Management in Highlands and Headwaters by Fionn Murtagh
Cover of the book Men's Health by Fionn Murtagh
Cover of the book Advances in Passive Cooling by Fionn Murtagh
Cover of the book Cooperative Cognitive Radio Networks by Fionn Murtagh
Cover of the book Understanding Nanomaterials by Fionn Murtagh
Cover of the book Characterisation of Soft Magnetic Materials Under Rotational Magnetisation by Fionn Murtagh
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy