Название: The Book of F#: Breaking Free with Managed Functional Programming
Автор: Dave Fancher
Издательство: No Starch Press
Год: 2014
Формат: PDF, EPUB
Размер: 12,8 Мб
Язык: английский / English

F# brings the power of functional-first programming to the .NET Framework, a platform for developing software in the Microsoft Windows ecosystem. If you're a traditional .NET developer used to C# and Visual Basic, discovering F# will be a revelation that will change how you code, and how you think about coding.

Название: History of Digital Games: Developments in Art, Design and Interaction
Автор: Andrew Williams
Издательство: CRC Press
Год: 2017
Формат: PDF, EPUB
Размер: 13,3 Мб
Язык: английский / English

The growth of videogame design programs in higher education and explosion of amateur game development has created a need for a deeper understanding of game history that addresses not only "when," but "how" and "why." Andrew Williams takes the first step in creating a comprehensive survey on the history of digital games as commercial products and artistic forms in a textbook appropriate for university instruction.

Название: C++ For Dummies, 7th Edition
Автор: Stephen R. Davis
Издательство: For Dummies
Год: 2014
Страниц: 480
Формат: PDF, EPUB, MOBI
Размер: 11 Mb
Язык: English

The best-selling C++ For Dummies book makes C++ easier!
C++ For Dummies, 7th Edition is the best-selling C++ guide on the market, fully revised for the 2014 update. With over 60% new content, this updated guide reflects the new standards, and includes a new Big Data focus that highlights the use of C++ among popular Big Data software solutions. The book provides step-by-step instruction from the ground up, helping beginners become programmers and allowing intermediate programmers to sharpen their skills. The companion website provides all code mentioned in the text, an updated GNU_C++, the new C++ compiler, and other applications. By the end of the first chapter, you will have programmed your first C++ application!

Название: Компьютерное моделирование
Автор: Майер Р.В.
Издательство: Глазов: Глазов. гос. пед. ин-т
Жанр: компьютерное
Год: 2015
Формат: pdf
Страниц: 619
Размер: 25,3 Мб
Язык: русский

Учебно-методическое пособие (электронное издание на компакт-диске]) предназначено преподавателям и студентам педагогических вузов, обучающихся по профилям «Физика», «Математика», «Информатика». В нем рассмотрены методологические аспекты моделирования сложных систем, представлены типовые математические схемы, на конкретных примерах проанализированы методы дискретного и непрерывного, стохастического и детерминированного моделирования.

Название: Data Analytics for Internal Auditors
Автор: Richard E. Cascarino
Издательство: Auerbach Publications
Год: 2017
Страниц: 440
Формат: PDF
Размер: 10 Mb
Язык: English

There are many webinars and training courses on Data Analytics for Internal Auditors, but no handbook written from the practitioner’s viewpoint covering not only the need and the theory, but a practical hands-on approach to conducting Data Analytics. The spread of IT systems makes it necessary that auditors as well as management have the ability to examine high volumes of data and transactions to determine patterns and trends. The increasing need to continuously monitor and audit IT systems has created an imperative for the effective use of appropriate data mining tools. This book takes an auditor from a zero base to an ability to professionally analyze corporate data seeking anomalies.

Название: A Practical Approach to Compiler Construction (Undergraduate Topics in Computer Science)
Автор: Des Watson
Издательство: Springer
Год: 2017
Страниц: 254
Формат: PDF
Размер: 10 Mb
Язык: English

This book provides a practically-oriented introduction to high-level programming language implementation. It demystifies what goes on within a compiler and stimulates the reader's interest in compiler design, an essential aspect of computer science. Programming language analysis and translation techniques are used in many software application areas.

Название: Visual Attributes (Advances in Computer Vision and Pattern Recognition)
Автор: Rogerio Schmidt Feris
Издательство: Springer
Год: 2017
Страниц: 364
Формат: PDF
Размер: 17 Mb
Язык: English

This unique text/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction.

Название: Data Science and Big data: An Environment of Computational Intelligence
Автор: Witold Pedrycz, Shyi-Ming Chen
Издательство: Springer
Серия: Studies in Big Data (Book 24)
ISBN: 3319534734
Год: 2017
Язык: английский
Страниц: 303
Формат: pdf
Размер: 10.45 MB

This book presents a comprehensive and up-to-date treatise of a range of methodological and algorithmic issues. It also discusses implementations and case studies, identifies the best design practices, and assesses data analytics business models and practices in industry, health care, administration and business.Data science and big data go hand in hand and constitute a rapidly growing area of research and have attracted the attention of industry and business alike.

Название: Modern Data Science with R
Автор: Benjamin Baumer, Daniel Kaplan, Nicholas Horton
Издательство: CRC
Год: 2017
Страниц: 582
Формат: PDF
Размер: 88 Mb
Язык: English

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningful information from a variety of data in the service of addressing compelling statistical questions.

Название: Big and Complex Data Analysis: Methodologies and Applications
Автор: S. Ejaz Ahmed
Издательство: Springer
Год: 2017
Страниц: 386
Формат: PDF
Размер: 11 Mb
Язык: English

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.