Название: Data-Intensive Text Processing with MapReduce
Автор: Jimmy Lin , Chris Dyer
Издательство: Morgan & Claypool Publishers
Год: 2010
Формат: pdf
Страниц: 175
Размер: 1,3 mb.
Язык: English

Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers.

Название: Computer Science III
Автор: Dr. Chris Bourke
Издательство: University of Nebraska–Lincoln
Год: 2016
Формат: pdf
Страниц: 244
Размер: 1,07 mb.
Язык: English

Computers are awesome. The human race has seen more advancements in the last 50 years than in the entire 10,000 years of human history. Technology has transformed the way we live our daily lives, how we interact with each other, and has changed the course of our history. Today, everyone carries smart phones which have more computational power than supercomputers from 20 years ago. Computing has become ubiquitous, the “internet of things” will soon become a reality in which every device will become interconnected and data will be collected and available even about the smallest of minutiae.

Название: A Brief Introduction to Neural Networks
Автор: David Kriesel
Издательство: Autoedici?n
Год: 2012
Формат: pdf
Страниц: 244
Размер: 5,6 mb.
Язык: English

"Originally, this work has been prepared in the framework of a seminar of the University of Bonn in Germany, but it has been and will be extended. First and foremost, to provide a comprehensive overview of the subject of neural networks and, second, just to acquire more and more knowledge about LATEX . And who knows – maybe one day this summary will become a real preface!"

Название: Big CPU, Big Data
Автор: Alan Kaminsky
Издательство: Autoedici?n
Год: 2015
Формат: pdf
Страниц: 424
Размер: 11 mb.
Язык: English

To study parallel programming with this book, you’ll need the following prerequisite knowledge: Java programming; C programming (for GPU programs); computer organization concepts (CPU, memory, cache, and so on); operating system concepts (threads, thread synchronization).

Название: Algorithmics and Optimization
Автор: Andreas de Vries
Издательство: University of Applied Sciences of Hagen
Год: 2015
Формат: pdf
Страниц: 123
Размер: 1,24 mb.
Язык: English

Why mathematics in a book about algorithmics? Algorithms are, in essence, applied mathematics. Even if they deal with apparently “unmathematical” subjects such as manipulating strings or searching objects, mathematics is the basis. To mention just a few examples: the classical algorithmic concept of recursion is very closely related to the principle of mathematical induction; rigorous proofs are needed for establishing the correctness of given algorithms; running times have to be computed.

Название: Алгоритмы на Java
Автор: Роберт Седжвик, Кевин Уэйн
Издательство: Вильямс
Год: 2013
Страниц: 843
Формат: DJVU
Размер: 42 Мб
Язык: русский

В книге представлено исчерпывающее толкование структур данных и алгоритмов сортировки, поиска, обработки графов и строк, включая пятьдесят алгоритмов, которые должен знать каждый программист. Описываются новые реализации алгоритмов на Java, написанные в ясном модульном стиле, при котором весь код доступен читателю и полностью готов к использованию. В книге изучение алгоритмов на Java ведется в контексте важнейших научных, инженерных и коммерческих приложений.

Название: Lie Group Machine Learning
Автор: Fanzhang Li
Издательство: de Gruyter
Год: 2019
Страниц: 533
Формат: PDF
Размер: 14 Mb
Язык: English

This book explains deep learning concepts and derives semi-supervised learning and nuclear learning frameworks based on cognition mechanism and Lie group theory. Lie group machine learning is a theoretical basis for brain intelligence, Neuromorphic learning (NL), advanced machine learning, and advanced artifi cial intelligence. The book further discusses algorithms and applications in tensor learning, spectrum estimation learning, Finsler geometry learning, Homology boundary learning, and prototype theory.

Название: Синтез изображений. Базовые алгоритмы
Автор: Эгрон Ж.
Издательство: Радио и связь
ISBN: 5-256-00431-X
Год: 1993
Формат: PDF/DjVu
Страниц: 218
Размер: 38 MB
Язык: Русский

В книге французского специалиста собраны и систематизированы основные алгоритмы машинной графики, используемые при синтезе изображений с помощью ЭВМ. Описываются операции генерирования кривых, заполнения областей и взаимодействия геометрических объектов. Приведено около 50 программ, составленных на языке высокого уровня, что позволяет читателю воспользоваться готовой программой для конкретных условий. Автор ограничивается простейшим математическим аппаратом.

Название: Applied Scientific Computing: With Python
Автор: Peter R. Turner, Thomas Arildsen
Издательство: Springer
Серия: Texts in Computer Science
ISBN: 3319895745
Год: 2018
Страниц: 280
Язык: английский
Формат: pdf (true), epub
Размер: 15.2 MB

This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on the modeling and applications of the mathematical content. Emphasis is placed on the need for, and methods of, scientific computing for a range of different types of problems, supplying the evidence and justification to motivate the reader. Practical guidance on coding the methods is also provided, through simple-to-follow examples using Python.

Название: Modern Psychometrics with R
Автор: Patrick Mair
Издательство: Springer
Серия: Use R!
ISBN: 331993175X
Год: 2018
Страниц: 464
Язык: английский
Формат: pdf (true), epub
Размер: 43.7 MB

This textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method.