English resources: Recent submissions
Now showing items 221-240 of 6813
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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 ... -
Computational Geometry: Algorithms and Applications (3 ed.)
(Springer, 2008)Computational geometry emerged from the ?eld of algorithms design and analysis in the late 1970s. It has grown into a recognized discipline with its own journals, conferences, and a large community of active researchers. ... -
Computer Vision: Algorithms and Applications
(Springer, 2011)Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level ... -
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2 ed.)
(Springer, 2009)During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge ... -
Contemporary human resource management: text and cases
(Pearson, 2017)Whether you're a student studying HRM or a forward-looking manager, Contemporary Human Resource Management is the book you need. Written by authors who are all experts in their fields, this fifth edition provides a thorough ... -
Essential Economics for Business
(Pearson, 2017)The aim of this text is to provide a short course in economic principles as they apply to the business environment. It is designed to be used by frst-year undergraduates on business studies degrees and students on diplomas ... -
Calculus with applications
(Pearson, 2017)Calculus with Applications, Eleventh Edition by Lial, Greenwell, and Ritchey, is our most applied text to date, making the math relevant and accessible for students of business, life science, and social sciences. Current ...
