Maths for computer scientists (42)

publisher: Springer
year: 2017
description:Learn how to write object-oriented programs in R and how to construct classes and class hierarchies in the three object-oriented systems available in R. This book gives an introduction to object-oriented programming in the R programming language and ...

publisher: Springer
year: 2016
description:Program for data analysis using R and learn practical skills to make your work more efficient. This book covers how to automate running code and the creation of reports to share your results, as well as writing functions and packages. Advanced R is n...

publisher: Springer
year: 2017
description:This volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multiv...

publisher: Springer
year: 2016
description:This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book ...

publisher: Springer
year: 2017
description:This book is a pedagogical presentation aimed at advanced undergraduate students, beginning graduate students and professionals who are looking for an introductory text to the field of Distance Geometry, and some of its applications. This versions ...

publisher: Springer
year: 2016
description:This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they...

publisher: Springer
year: 2018
description:Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the

publisher: Springer
year: 2017
description:Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains practical business analytics through examples, co...

publisher: Springer
year: 2017
description:Anschaulich und locker geschrieben, bietet dieses Buch eine verständliche Einführung in die Organisation und Integration moderner Datenwelten und erläutert den Beitrag des in der Statistik gängigen ISO-Standards SDMX. Es ist somit ein Muss für Statis...

publisher: Springer
year: 2017
description:This book provides practical applications of doubly classified models by using R syntax to generate the models. It also presents these models in symbolic tables so as to cater to those who are not mathematically inclined, while numerous examples thro...

publisher: Springer
year: 2017
description:This book provides a survey on different kinds of Feistel ciphers, with their definitions and mathematical/computational properties. Feistel ciphers are widely used in cryptography in order to obtain pseudorandom permutations and secret-key block cip...

publisher: Springer
year: 2017
description:Get an introduction to functional data structures using R and write more effective code and gain performance for your programs. This book teaches you workarounds because data in functional languages is not mutable: for example you’ll learn how to cha...