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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.

Название: Занимательное программирование. Базы данных. Манга
Автор: Мана Такахаси
Издательство: ДМК
Год: 2014
Страниц: 237
Формат: PDF
Размер: 48 Мб
Язык: русский

У принцессы Руруны и Кейна возникла проблема: в их торгующей фруктами империи царит неразбериха из-за противоречивых данных, и поэтому дыни подменяются яблоками и клубникой, что вызывает большие трудности в работе. И что же им делать? Конечно же, построить реляционную базу данных, и поможет им в этом Тико, чудесная фея баз данных.

Название: Java XML and JSON: Document Processing for Java SE, 2nd Edition
Автор: Jeff Friesen
Издательство: Apress
Год: 2019
Страниц: 528
Формат: PDF, EPUB
Размер: 10 Mb
Язык: English

Use this guide to master the XML metalanguage and JSON data format along with significant Java APIs for parsing and creating XML and JSON documents from the Java language. New in this edition is coverage of Jackson (a JSON processor for Java) and Oracle’s own Java API for JSON processing (JSON-P), which is a JSON processing API for Java EE that also can be used with Java SE. This new edition of Java XML and JSON also expands coverage of DOM and XSLT to include additional API content and useful examples.

Название: Cryptography and Network Security: Principles and Practice, International Edition, 6 edition
Автор: William Stallings
Издательство: Pearson
Год: 2014
Формат: PDF
Размер: 12 Мб
Язык: английский / English

In this age of universal electronic connectivity, viruses and hackers, electronic eavesdropping, and electronic fraud, security is paramount. This text provides a practical survey of both the principles and practice of cryptography and network security. First, the basic issues to be addressed by a network security capability are explored through a tutorial and survey of cryptography and network security technology.

Название: Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Автор: Umberto Michelucci
Издательство: Apress
ISBN: 1484237897
Год: 2018
Страниц: 425
Язык: английский
Формат: pdf (true), epub
Размер: 30.0 MB

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing how to perform linear and logistic regression using TensorFlow, and choosing the right cost function.

Название: Beyond Artificial Intelligence: From Human Consciousness to Artificial Consciousness
Автор: Alain Cardon
Издательство: Wiley-ISTE
ISBN: 1786303590
Год: 2018
Страниц: 232
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

Artificial intelligence is concerned with the development of computer systems that simulate human reasoning when they are applied to the domain of rational knowledge. More specific subdomains are structured by ontologies, which enable the development of systems that use this knowledge with great subtlety when questions are posed to them. This book will present a complete modeling of the human psychic system that allows to generate the thoughts in a strictly organizational approach that mixes a rising and falling approach. The model will present the architecture of the psychic system that can generate sensations and thoughts, showing how one can feel thoughts. The model developed into an organizational architecture based on massive multiagent systems. The architecture will be fully developed, showing how an artificial system can be endowed with consciousness and intentionally generate thoughts and, especially, feel them.

Название: Computational Actuarial Science with R
Автор: Arthur Charpentier
Издательство: Chapman and Hall/CRC
Серия: The R Series
ISBN: 1466592591
Год: 2014
Страниц: 656
Язык: английский
Формат: pdf (true)
Размер: 15.0 MB

A Hands-On Approach to Understanding and Using Actuarial Models. Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/C++ embedded codes. R includes a wide range of standard statistical functions and contributed packages that extend the range of routine functions, including graphical methods. And once we get used to it, R is an easy and intuitive programming language. In the statistical literature, new methods are often accompanied by implementation in R, so that R became a sort of "lingua franca" in the statistical community (including connected areas, from social science to finance, and actuarial science).