Название: Разработка приложений для мобильных интеллектуальных систем на платформе Intel Atom
Автор: Амелин К.С., Амелина Н.О., Граничин О.Н., Кияев В.И.
Издательство: М.: НОУ "Интуит"
Год: 2016
Страниц: 201
Формат: PDF
Размер: 21 Мб
Язык: русский

В курсе представлены новые результаты авторов по разработке приложений для мобильных интеллектуальных систем на платформе Intel Atom, прочитанные авторами для студентов Математико-механического факультета СПбГУ, стажеров Лаборатории системного программирования и информационных технологий (СПРИНТ, СПбГУ-Intel) и слушателей молодежных образовательных школ вузов Российской Федерации.

Название: Intro to Software Development
Автор: Iakiv Kramarenko
Издательство: Leanpub
Год: 2018
Страниц: 147
Язык: английский
Формат: pdf
Размер: 14.1 MB

An introduction to programming and web software development with HTML, CSS, and javascript. The book should be on strength for all — from kids to their parents, with the only prerequisite — be a confident computer user. It should help to taste the development of a real product and determine your role in IT (developer, tester, etc).

Название: Python for beginners: Step-By-Step Guide to Learning Python Programming
Автор: Larry Lutz
Издательство: Amazon Digital Services LLC
ASIN: B07CN7Q9FT
Год: 2018
Страниц: 206
Язык: английский
Формат: epub, azw3, pdf (conv)
Размер: 10.16 MB

Python for beginners. Do You Want to Become An Expert Of PYTHON?? Get this Book and Follow My Step by Step Explanations!
Python language is widely used all over the globe. Its popularity is because of its characteristics and many advantages attached to it. Some of the major advantages are as follows:
Easy-to-Learn, Read and Maintain; A handful of Standard Libraries; Easy development and Test; Extendable to Low-Level languages

Название: Deep Reinforcement Learning for Wireless Networks
Автор: F. Richard Yu, Ying He
Издательство: Springer
Год: 2019
Язык: английский
Формат: pdf (true), djvu
Размер: 15.1 MB

There is a phenomenal burst of research activities in machine learning and wireless systems. Machine learning evolved from a collection of powerful techniques in AI areas and has been extensively used in data mining, which allows the system to learn the useful structural patterns and models from training data. Reinforcement learning is an important branch of machine learning, where an agent learns to take actions that would yield the most reward by interacting with the environment. The main advantage of reinforcement learning is that it works well without prior knowledge of an exact mathematical model of the environment. However, the traditional reinforcement learning approach has some shortcomings, such as low convergence rate to the optimal behavior policy and its inability to solve problems with high-dimensional state space and action space. These shortcomings can be addressed by deep reinforcement learning.

Название: Pragmatic Deep Learning for Dummies
Автор: Benjamin Young
Издательство: Amazon Digital Services LLC
Год: 2019
Язык: английский
Формат: epub, azw3
Размер: 10.1 MB

AI especially Deep Learning has made tremendous progress in recent years. It start to spread to all industries. Quote from Andrew Ng, a famous AI researcher:“AI is the new electricity. About 100 years ago, electricity transformed every major industry. AI has advanced tothe point where it has the power to transform every major sector in coming years. "Unless you are a refresh graduated student with AI/deep learning major, many of us do not have a formal machine learning/deep learning training before, so it is time to keep updated with latest technology.

Название: The Intuitive Guide to Data Structures and Algorithms
Автор: Parker Phinney
Издательство: Amazon Digital Services LLC
ASIN: B07FDLH599
Год: 2018
Страниц: 131
Язык: английский
Формат: epub, azw3, pdf (conv)
Размер: 10.1 MB

This is not a freaking textbook. No confusing academic jargon. No long lists of properties to memorize. No proofs. Because that stuff doesn’t help you actually get it. Here’s what does: Learning what to picture in your head when you think of a dynamic array or a hash map. Learning how to think in algorithms. That’s what this guide is focused on - giving you a visual, intuitive sense for how data structures and algorithms actually work. So if you’ve got a big coding interview coming up, or you never learned data structures and algorithms in school, or you did but you’re kinda hazy on how some of this stuff fits together... This guide will fill in the gaps in your knowledge and make you say, "Oooh, that’s how that works." We’ll walk you through it all, step by step. Starting from the beginning.

Название: Deep Learning: Convergence to Big Data Analytics
Автор: Murad Khan, Bilal Jan, Haleem Farman
Издательство: Springer
Серия: SpringerBriefs in Computer Science
ISBN: 9811334587
Год: 2019
Страниц: 93
Язык: английский
Формат: pdf (true), epub
Размер: 14.6 MB

This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used to analyze big data in real-time, such as Hadoop, SPARK, and GRAPHX. Big data analytics using traditional techniques face various challenges, such as fast, accurate and efficient processing of big data in real-time. In addition, the Internet of Things is progressively increasing in various fields, like smart cities, smart homes, and e-health. As the enormous number of connected devices generate huge amounts of data every day, we need sophisticated algorithms to deal, organize, and classify this data in less processing time and space. Similarly, existing techniques and algorithms for deep learning in big data field have several advantages thanks to the two main branches of the deep learning, i.e. convolution and deep belief networks. This book offers insights into these techniques and applications based on these two types of deep learning.

Название: Introduction to Cryptography: Principles and Applications, 3rd edition
Автор: Hans Delfs and Helmut Knebl
Издательство: Springer
Год: 2015
Формат: PDF
Размер: 5 Мб
Язык: английский / English

The first part of this book covers the key concepts of cryptography on an undergraduate level, from encryption and digital signatures to cryptographic protocols. Essential techniques are demonstrated in protocols for key exchange, user identification, electronic elections and digital cash. In the second part, more advanced topics are addressed, such as the bit security of one-way functions and computationally perfect pseudorandom bit generators. The security of cryptographic schemes is a central topic. Typical examples of provably secure encryption and signature schemes and their security proofs are given. Though particular attention is given to the mathematical foundations, no special background in mathematics is presumed. The necessary algebra, number theory and probability theory are included in the appendix. Each chapter closes with a collection of exercises.

Название: Turbo Pascal. Практикум
Автор: Немнюгин С.А.
Издательство: Питер
Год: 2001
Страниц: 254
ISBN: 5-272-00068-4
Формат: PDF
Размер: 15 Mб
Язык: русский

Практикум является пособием для практических занятий по программированию на языке Turbo Pascal и дополняет собой пользующийся заслуженным успехом у читателей учебник того же автора. Десять занятий Практикума содержат необходимый минимум теоретических сведений, примеры программ с подробными комментариями к ним, упражнения и задания для самостоятельной работы.

Название: Improving Information Security Practices Through Computational Intelligence
Автор: Wasan Shaker Awad and El Sayed M. El-Alfy
Издательство: IGI Global
Год: 2015
Формат: PDF
Размер: 25 Мб
Язык: английский / English

The recent explosion in complex global networking architectures has spurred a concomitant rise in the need for robust information security. Further, as computing power increases exponentially with every passing year, so do the number of proposed cryptographic schemata for improving and ensuring the encryption integrity of cutting-edge infosec protocols.