English resources: Recent submissions
Now showing items 361-380 of 6959
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A Beginner’s Guide to R
(Springer, 2009)Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical ... -
Bayesian Essentials with R (2 ed.)
(Springer, 2014)This Bayesian modeling book provides a self-contained entry to computational Bayesian statistics. Focusing on the most standard statistical models and backed up by real datasets and an all-inclusive R (CRAN) package called ... -
Foundations of Programming Languages (2 ed.)
(Springer, 2017)This clearly written textbook provides an accessible introduction to the three programming paradigms of object-oriented/imperative, functional, and logic programming. Highly interactive in style, the text encourages learning ... -
Concise Guide to Databases: A Practical Introduction
(Springer, 2013)Modern businesses depend on data for their very survival, creating a need for sophisticated databases and database technologies to help store, organise and transport their valuable data. This easy-to-read textbook/reference ... -
Digital Image Processing: An Algorithmic Introduction Using Java (2 ed.)
(Springer, 2016)This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with ... -
Applied Predictive Modeling
(Springer, 2013)This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an ... -
Python For ArcGIS
(Springer, 2015)This book introduces Python scripting for geographic information science (GIS) workflow optimization using ArcGIS. It builds essential programming skills for automating GIS analysis. Over 200 sample Python scripts and 175 ... -
Object-Oriented Analysis, Design and Implementation: An Integrated Approach (2 ed.)
(Springer, 2015)The second edition of this textbook includes revisions based on the feedback on the first edition. In a new chapter the authors provide a concise introduction to the remainder of UML diagrams, adopting the same holistic ... -
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
(Springer, 2017)This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and ... -
Machine Learning in Medicine - A Complete Overview
(Springer, 2015)The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector. It was written as a training companion, and as a must-read, not only for physicians and ... -
Introductory Time Series with R
(Springer, 2009)Yearly global mean temperature and ocean levels, daily share prices, and the signals transmitted back to Earth by the Voyager space craft are all examples of sequential observations over time known as time series. This ... -
The Python Workbook: A Brief Introduction with Exercises and Solutions
(Springer, 2014)While other textbooks devote their pages to explaining introductory programming concepts, The Python Workbook focuses exclusively on exercises, following the philosophy that computer programming is a skill best learned ... -
Linear Programming: Foundations and Extensions (4 ed.)
(Springer, 2014)This Fourth Edition introduces the latest theory and applications in optimization. It emphasizes constrained optimization, beginning with a substantial treatment of linear programming and then proceeding to convex analysis, ... -
Robotics: Modelling, Planning and Control
(Springer, 2009)Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. The text develops around a core of consistent and rigorous formalism with fundamental and technological material giving ... -
Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques (2 ed.)
(Springer, 2014)The first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques ... -
Modelling Computing Systems: Mathematics for Computer Science
(Springer, 2013)We have all experienced delays and frustrations as a result of the notorious ‘computer glitch.’ However, the more dependent we become on computational systems in our daily lives, the more we must ensure that they are safe, ... -
An Introduction to Machine Learning (2 ed.)
(Springer, 2017)This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The ... -
The Data Science Design Manual
(Springer, 2017)This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data ... -
Statistical Analysis and Data Display: An Intermediate Course with Examples in R (2 ed.)
(Springer, 2015)This contemporary presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, ... -
Data Mining: The Textbook
(Springer, 2015)This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the ...
