Название: Ассемблер. Экспресс-курс
Автор: Панов А.С.
Издательство: СПб.: БХВ-Петербург
Год: 2006
Формат: pdf
Страниц: 240
Размер: 10 mb
Язык: русский

Изложены основы программирования на языке ассемблера, начиная с составления программ и заканчивая их отладкой. Приведены рабочие примеры, которые должны помочь обучающемуся решить любые возникшие перед ним проблемы. Последовательно и доходчиво рассмотрены назначение регистров микропроцессора Intel, ввод и вывод данных, работа с прерываниями, операции над строками и десятичными числами, а также трансляция, сборка и отладка программ и др. Особое внимание уделено программам, которые работают с графикой. Рассматривается главным образом компилятор TASM, однако излагаемый материал и приведенные примеры составлены таким образом, что для изучения основ программирования можно использовать любой компилятор ассемблера, например MASM, FASM, WASM.

Название: Programming Windows Store Apps with C#
Автор: Matthew Baxter-Reynolds, Iris Classon
Издательство: O'Reilly Media
Год: 2014
ISBN: 9781449320850
Формат: pdf
Страниц: 508
Размер: 347 mb
Язык: English

Master WinRT, XAML, and C# to Create Innovative Windows 8 Applications

Название: Trends and Advances in Information Systems and Technologies: Vol.I-III
Автор: ?lvaro Rocha, Hojjat Adeli, Lu?s Paulo Reis, Sandra Costanzo
Издательство: Springer
Год: 2018
ISBN: 9783319777030 (Vol.1); 9783319777122 (Vol.2); 9783319776996 (Vol.3)
Серия: Advances in Intelligent Systems and Computing (Books 745-747)
Формат: pdf
Страниц: 1204+1518+406
Размер: 330,4 mb
Язык: English

Features the latest research and new perspectives on information systems and technologies
Presents the outcomes of the 2018 World Conference on Information Systems and Technologies (WorldCIST’18) held in Naples, Italy, from March 27 to 29, 2018
Discusses recent innovations, trends, results, experiences, and concerns in various aspects of information systems and technologies

Название: Machine Learning: A Bayesian and Optimization Perspective
Автор: Sergios Theodoridis
Издательство: Academic Press
Год: 2015
Страниц: 1062
Формат: True PDF
Размер: 34 Mb
Язык: English

This tutorial text gives a unifying perspective on machine learning by covering both probabilistic and deterministic approaches -which are based on optimization techniques – together with the Bayesian inference approach, whose essence lies in the use of a hierarchy of probabilistic models. The book presents the major machine learning methods as they have been developed in different disciplines, such as statistics, statistical and adaptive signal processing and computer science. Focusing on the physical reasoning behind the mathematics, all the various methods and techniques are explained in depth, supported by examples and problems, giving an invaluable resource to the student and researcher for understanding and applying machine learning concepts.

Название: Programming for Computations - MATLAB/Octave: A Gentle Introduction to Numerical Simulations with MATLAB/Octave
Автор: Svein Linge, Hans Petter Langtangen
Издательство: Springer
Год: 2018
Страниц: 216
Формат: PDF, EPUB
Размер: 10 Mb
Язык: English

This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.

Название: Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation
Автор: James M. Keller
Издательство: Wiley-IEEE Press
Год: 2016
Страниц: 378
Формат: True PDF
Размер: 63 Mb
Язык: English

Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another
This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation.

Название: High Performance Parallel I/O
Автор: Prabhat, Quincey Koziol
Издательство: Chapman and Hall/CRC
Год: 2015
Страниц: 434
Формат: True PDF
Размер: 10 Mb
Язык: English

Gain Critical Insight into the Parallel I/O Ecosystem
Parallel I/O is an integral component of modern high performance computing (HPC), especially in storing and processing very large datasets to facilitate scientific discovery. Revealing the state of the art in this field, High Performance Parallel I/O draws on insights from leading practitioners, researchers, software architects, developers, and scientists who shed light on the parallel I/O ecosystem.

Название: Latest Advances In Inductive Logic Programming
Автор: Stephen Muggleton
Издательство: Icp
Год: 2015
Страниц: 264
Формат: True PDF, EPUB, AZW3
Размер: 15 Mb
Язык: English

This book represents a selection of papers presented at the Inductive Logic Programming (Ilp) workshop held at Cumberland Lodge, Great Windsor Park. The collection marks two decades since the first Ilp workshop in 1991. During this period the area has developed into the main forum for work on logic-based machine learning. The chapters cover a wide variety of topics, ranging from theory and Ilp implementations to state-of-the-art applications in real-world domains.

Название: Numerical Methods in Computational Mechanics
Автор: Jamshid Ghaboussi, Xiping Steven Wu
Издательство: CRC Press
Год: 2016
Страниц: 331
Формат: PDF
Размер: 10 Mb
Язык: English

This book explores the numerical algorithms underpinning modern finite element based computational mechanics software. It covers all the major numerical methods that are used in computational mechanics. It reviews the basic concepts in linear algebra and advanced matrix theory, before covering solution of systems of equations, symmetric eigenvalue solution methods, and direct integration of discrete dynamic equations of motion, illustrated with numerical examples. This book suits a graduate course in mechanics based disciplines, and will help software developers in computational mechanics. Increased understanding of the underlying numerical methods will also help practicing engineers to use the computational mechanics software more effectively.

Автор: Sebastian Raschka
Название: Machine Learning con Python: costruire algoritmi per generare conoscenza
Издательство: Apogeo
Год: 2017
ASIN: B075LJJ32J
Язык: Italiano
Формат: azw3
Размер: 14,8 mb
Страниц: 573

Questo libro accompagna nel mondo del machine learning e mostra come Python sia il linguaggio di programmazione ideale per costruire algoritmi sofisticati in grado di interrogare i dati nel modo migliore e recuperare preziosi insight.