Cantitate/Preț
Produs
Total produse
Vezi coșul
Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics de Fionn Murtagh

Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics: Chapman & Hall/CRC Computer Science & Data Analysis

Autor Fionn Murtagh
en Limba Engleză Hardback – 7 sep 2017
"Data Science Foundationsis 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.
Citește tot Restrânge

Din seria Chapman & Hall/CRC Computer Science & Data Analysis

  • Bayesian Regression Modeling with INLA
    Preț: 42737 lei
  • Exploratory Data Analysis with MATLAB
    Preț: 35663 lei
  • 15% R Programming for Bioinformatics
    Preț: 68925 lei
  • Exploratory Multivariate Analysis by Example Using R
    Preț: 37171 lei
  • Textual Data Science with R
    Preț: 42150 lei
  • 12% Chain Event Graphs
    Preț: 31230 lei
  • 23% Microarray Image Analysis: An Algorithmic Approach
    Preț: 42718 lei
  • 20% Introduction to Data Technologies
    Preț: 59493 lei
  • 31% Statistics in MATLAB: A Primer
    Preț: 28825 lei
  • Combinatorial Inference in Geometric Data Analysis
    Preț: 37911 lei
  • 15% Semisupervised Learning for Computational Linguistics
    Preț: 47187 lei
  • 15% Correspondence Analysis and Data Coding with Java and R
    Preț: 47619 lei
  • 22% Music Data Analysis: Foundations and Applications
    Preț: 35241 lei
  • 31% Design and Modeling for Computer Experiments
    Preț: 26489 lei
  • 20% Computational Statistics Handbook with MATLAB
    Preț: 36602 lei
  • 18% Time Series Clustering and Classification
    Preț: 108840 lei
  • 20% Pattern Recognition Algorithms for Data Mining
    Preț: 46375 lei
  • 11% Bayesian Artificial Intelligence
    Preț: 30506 lei
  • 25% Foundations of Statistical Algorithms: With References to R Packages
    Preț: 77212 lei

Preț: 66039 lei

Preț vechi: 77693 lei
-15% Nou

Puncte Express: 991
Preț estimativ în valută:
12639€ • 13128$ • 10498£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781498763936
ISBN-10: 1498763936
Pagini: 224
Ilustrații: 49 Line drawings, black and white; 6 Halftones, black and white; 20 Tables, black and white; 55 Illustrations, black and white
Dimensiuni: 178 x 254 x 20 mm
Greutate: 0.57 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Computer Science & Data Analysis

Public țintă

Academic

Cuprins

Preface
Part I. Narratives from Film and Literature, from Social Media and Contemporary Life
The Correspondence Analysis Platform for Mapping Semantics
Analysis and Synthesis of Narrative: Semantics of Interactivity
Part II. Foundations of Analytics through the Geometry and Topology of Complex Systems
Symmetry in Data Mining and Analysis through Hierarchy
Geometry and Topology of Data Analysis: in p-Adic Terms
Part III. New Challenges and New Solutions for Information Search and Discovery
Fast, Linear Time, m-Adic Hierarchical Clustering
Big Data Scaling through Metric Mapping
Part IV. New Frontiers: New Vistas on Information, Cognition and on the Human Mind
On Ultrametric Algorithmic Information
Geometry and Topology of Matte Blanco's Bi-Logic in Psychoanalytics
Ultrametric Model of Mind: Application to Text Content Analysis
Concluding Discussion on Software Environments

Notă biografică

Fionn Murtagh's very first post after his PhD was educational research at a national level, followed by nuclear energy risk assessment. He then worked for a dozen years on the Hubble Space Telescope, as a European Space Agency Senior Scientist. Following many Professor of Computer Science positions, teaching and research, and senior management positions in Ireland, France, USA and UK, he is very happy now to be advancing data science as Professor of Data Science, and Director, Centre for Mathematics and Data Science, at the University of Huddersfield.

Recenzii

"Fionn Murtagh new book is an advanced text in data science which is highly recommended for those seeking for new directions in the field. From the use of ultrametric spaces for modeling the human mind to the study of narratives through hierarchical structures, this book is thought provoking and intellectually challenging."
—Prof. Y. Neuman, Ben-Gurion University of the Negev, author of Introduction to Computational Cultural Psychology
"Overall, I think this book bring new insights in data science. Many books can be found for the basics of data science. In this book, on the contrary, the approach which is discussed goes a step further. This book is quite technical in some parts and some mathematical background will help the readers to understand the details provided in some chapters. However, since R code is provided, as well as many illustrative examples, practitioners should also find their groove. The book contains many illustrative examples but also theory. It can thus be interesting for readers with different back-grounds. Theoretical-oriented readers will find cues on why it works while practical-oriented readers will find some ways and cues on how to handle their data to get the best of it."
—Josiane Mothe, Université de Toulouse, IRIT-CNRS
"An intriguing book, and one that is set apart from the mainstream "big data analytics" texts, Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of…. 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. 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. This is a very useful text and I would certainly use it in my teaching."
—Mark Girolami, Warwick University

Descriere

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.