Название: Software Processes and Life Cycle Models: An Introduction to Modelling, Using and Managing Agile, Plan-Driven and Hybrid Processes Автор: Ralf Kneuper Издательство: Springer Год: 2018 Страниц: 345 Формат: PDF Размер: 10 Mb Язык: English
This book provides a comprehensive overview of the field of software processes, covering in particular the following essential topics: software process modelling, software process and lifecycle models, software process management, deployment and governance, and software process improvement (including assessment and measurement). It does not propose any new processes or methods; rather, it introduces students and software engineers to software processes and life cycle models, covering the different types ranging from “classical”, plan-driven via hybrid to agile approaches.
Название: Guide to Programming for the Digital Humanities: Lessons for Introductory Python Автор: Brian Kokensparger Издательство: Springer Год: 2018 Страниц: 98 Формат: PDF, EPUB Размер: 10 Mb Язык: English
As an introduction to programming for the Digital Humanities (DH), this book presents six key assignments oriented on DH topics. The topics include Computing Change Over Time (calculating burials at a historic cemetery), Visualizing Change Over Time (visualizing the burials at the historic cemetery), Textual Analysis (finding word frequencies and “stop words” in public domain texts), XML Transformation (transforming a simplified version of XML into HTML styled with CSS), Stylometry (comparing the measured features of graphic images), and Social Network Analysis (analyzing extended relationships in historic circles).
Название: Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings Автор: Thuy T. Pham Издательство: Springer Год: 2018 Страниц: 107 Формат: PDF, EPUB Размер: 10 Mb Язык: English
This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, including time-consuming and subjective manual de-facto standard practice, and that existing automated efforts have been predominantly used for subject dependent setting. It then proposes a novel approach for anomaly detection, demonstrating its effectiveness and accuracy for automated classification of biomedical data, and arguing its applicability to a wider range of unsupervised machine learning applications in subject-independent settings.
Название: Learning to Program Автор: Foote A. Издательство: Addison-Wesley Год: 2018 Формат: PDF Страниц: 336 Для сайта:litmy.ru Размер: 10 mb Язык: английский
Everyone can benefit from basic programming skills–and after you start, you just might want to go a whole lot further. Author Steven Foote taught himself to program, figuring out the best ways to overcome every obstacle. Now a professional web developer, he’ll help you follow in his footsteps. He teaches concepts you can use with any modern programming language, whether you want to program computers, smartphones, tablets, or even robots. Learning to Program will help you build a solid foundation in programming that can prepare you to achieve just about any programming goal. Whether you want to become a professional software programmer, or you want to learn how to more effectively communicate with programmers, or you are just curious about how programming works, this book is a great first step in helping to get you there. Learning to Program will help you get started even if you aren’t sure where to begin.
Название: Introduction to MATLAB for Engineers, Third Edition Автор: William J. Palm III Издательство: McGraw-Hill Год: 2011 Формат: PDF Страниц: 577 Размер: 10,75 МБ Язык: English
Introduction to MATLAB for Engineers is a simple, concise book designed to be useful for beginners and to be kept as a reference. MATLAB is a globally available standard computational tool for engineers and scientists. The terminology, syntax, and the use of the programming language are well defined, and the organization of the material makes it easy to locate information and navigate through the textbook. The text covers all the major capabilities of MATLAB that are useful for beginning students.
Автор: Jim Wilson Название: Node.js the Right Way: Practical, Server-Side javascript That Scales Издательство: Pragmatic Bookshelf Год: 2013 ISBN: 9781937785734 Язык: English Формат: pdf Размер: 10,5 mb Страниц: 148
Get to the forefront of server-side javascript programming by writing compact, robust, fast, networked Node applications that scale.
Автор: Andy Harris Название: javascript and AJAX For Dummies Издательство: Wiley Publishing, Inc. Год: 2010 ISBN: 9780470417997 Серия: For Dummies Язык: English Формат: pdf Размер: 10,4 mb Страниц: 432
Learn to use these powerful tools together and build Web sites that work.
Автор: The MathWorks, Inc. Название: MATLAB 7: Programming Fundamentals Издательство: The MathWorks, Inc. Год: 2008 Язык: English Формат: pdf Размер: 10,5 mb Страниц: 840
Take a tour to the fundamentals of MATLAB programming.
javascript is no longer to be feared or loathed - the world's most popular and ubiquitous language has evolved into a respectable language. Whether you're writing frontend applications or server side code, the phenomenal features from ES6 and beyond - like the rest operator, generators, destructuring, object literals, arrow functions, modern classes, promises, async, and metaprogramming capabilities - will get you excited and eager to program with javascript. You've found the right book to get started quickly and dive deep into the essence of modern javascript. Learn practical tips to apply the elegant parts of the language and the gotchas to avoid.
Название: Computational Intelligence and Big Data Analytics: Applications in Bioinformatics Автор: Ch. Satyanarayana Издательство: Springer Год: 2018 Страниц: 137 Формат: PDF, EPUB Размер: 10 Mb Язык: English
This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines.
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