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 Название: Web-программирование на Python: учебное пособие для СПО
Автор: Янцев В.В.
Издательство: Лань
Год: 2022
Страниц: 180
Язык: русский
Формат: pdf
Размер: 11.4 MB
В книге рассматривается web-программирование на «чистом» Python — то есть без применения популярных фреймворков. Автор последовательно проведет вас по всем этапам данной темы. Прочитав эту книгу, вы сможете настроить на своем компьютере полноценную среду разработки, состоящую из интерпретатора Python, сервера Apache и текстового редактора Notepad++. Научитесь работать с переменными, операторами, числами, строками, регулярными выражениями, списками, кортежами, множествами, датой и временем. Узнаете, как писать функции, читать содержимое каталогов, работать с файлами, подключать модули. На практике освоите создание несложных программ: вывода данных из форм, проверки адреса электронной почты, подсвечивания ссылок, бесконечной ленты новостей и других. Наконец, на завершающем этапе читателю предстоит написать простой, но вполне работоспособный сайт. | |
Разместил: Ingvar16 26-11-2022, 04:48 | Комментарии: 0 | Подробнее
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 Название: Go Details & Tips 101
Автор: Tapir Liu
Издательство: Leanpub
Год: 2022-08-29 (v.1.19)
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB
Want to understand Go language better? Here are about 80 Go programming details and tips for you! This book collects many details and provides several tips in Go programming. The details and tips are categorized into: syntax and semantics related, conversions related, comparisons related, runtime related, standard packages related. Most of the details are Go specific, but several of them are language independent. | |
Разместил: Ingvar16 26-11-2022, 03:22 | Комментарии: 0 | Подробнее
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 Название: Biomedical and Other Applications of Soft Computing
Автор: Nguyen Hoang Phuong, Vladik Kreinovich
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 277
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB
This book describes current and potential use of Artificial Intelligence (AI) and Computational Intelligence (CI) techniques in biomedicine and other application areas. Medical applications range from general diagnostics to processing of X-ray images to e-medicine-related privacy issues. Medical community understandably prefers methods that have been successful other on other application areas, where possible mistakes are not that critical. This book describes many promising methods related to Deep Learning, fuzzy techniques, knowledge graphs, and Quantum Computing. In some cases, the existing Computational Intelligence techniques—often, after creative modifications—can be efficiently used in biomedical applications. However, biomedical problems are difficult. As a result, in many situations, the existing computational intelligence techniques are not sufficient to solve the corresponding problems. In such situations, we need to develop new techniques—and, ideally, first show their efficiency on other applications, to make sure that these techniques are indeed efficient. The fact that these techniques are efficient in so many different areas makes us hope that they will be useful in biomedical applications as well. | |
Разместил: Ingvar16 26-11-2022, 03:07 | Комментарии: 0 | Подробнее
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 Название: Computer and Information Science
Автор: Roger Lee
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2023
Страниц: 224
Язык: английский
Формат: pdf (true), epub
Размер: 30.6 MB
The aim of this book was to bring together researchers and scientists, engineers, computer users, and students to discuss the numerous fields of Computer Science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. Symmetric-key cryptography is used widely due to its capability to provide a strong defense against diverse attacks; however, it is prone to cryptanalysis attacks. Therefore, we propose a novel and highly secure symmetric-key cryptography, symKrypt for short, to defend against diverse attacks and provide tighter security than the conventional cryptography. Our proposed algorithm uses multiple private keys to encrypt a single block of a message. | |
Разместил: Ingvar16 26-11-2022, 02:43 | Комментарии: 0 | Подробнее
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 Название: Handbook of Re-Engineering Software Intensive Systems into Software Product Lines
Автор: Roberto E. Lopez-Herrejon, Jabier Martinez
Издательство: Springer
Год: 2023
Страниц: 535
Язык: английский
Формат: pdf (true)
Размер: 12.5 MB
This handbook distils the wealth of expertise and knowledge from a large community of researchers and industrial practitioners in Software Product Lines (SPLs) gained through extensive and rigorous theoretical, empirical, and applied research. It is a timely compilation of well-established and cutting-edge approaches that can be leveraged by those facing the prevailing and daunting challenge of re-engineering their systems into SPLs. The selection of chapters provides readers with a wide and diverse perspective that reflects the complementary and varied expertise of the chapter authors. This perspective covers the re-engineering processes, from planning to execution. SPLs are families of systems that share common assets, allowing a disciplined software reuse. The adoption of SPL practices has shown to enable significant technical and economic benefits for the companies that employ them. | |
Разместил: Ingvar16 26-11-2022, 02:22 | Комментарии: 0 | Подробнее
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 Название: Programming Language Design and Implementation
Автор: Torben ?gidius Mogensen
Издательство: Springer
Год: 2022
Страниц: 333
Язык: английский
Формат: pdf (true), epub
Размер: 13.5 MB
This textbook is intended as a guide for programming-language designers and users to better help them understand consequences of design decisions. The text aims to provide readers with an overview of the design space for programming languages and how design choices affect implementation. It is not a classical compilers book, as it assumes the reader is familiar with basic compiler implementation techniques; nor is it a traditional comparative programming languages book, because it does not go into depth about any particular language, instead taking examples from a wide variety of programming languages to illustrate design concepts. Exceptionally comprehensive in approach, this book explores the major issues in both design and implementation of modern programming languages and provides a basic introduction to the underlying theoretical models on which these languages are based. The emphasis throughout is on fundamental concepts—readers learn important ideas, not minor language differences--but several languages are highlighted in sufficient detail to enable readers to write programs that demonstrate the relationship between a source program and its execution behavior--e.g., C, C++, JAVA, ML, LISP, Prolog, Smalltalk, Postscript, HTML, PERL, FORTRAN, Ada, COBOL, BASIC SNOBOL4, PL/I, Pascal. | |
Разместил: Ingvar16 25-11-2022, 20:54 | Комментарии: 0 | Подробнее
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 Название: Artificial Neural Networks and Structural Equation Modeling: Marketing and Consumer Research Applications
Автор: Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan
Издательство: Springer
Год: 2022
Страниц: 336
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB
This book goes into a detailed investigation of adapting artificial neural network (ANN) and structural equation modeling (SEM) techniques in marketing and consumer research. The aim of using a dual-stage SEM and ANN approach is to obtain linear and non-compensated relationships because the ANN method captures non-compensated relationships based on the black box technology of artificial intelligence. Hence, the ANN approach validates the results of the SEM method. In addition, such the novel emerging approach increases the validity of the prediction by determining the importance of the variables. Consequently, the number of studies using SEM-ANN has increased, but the different types of study cases that show customization of different processes in ANNs method combination with SEM are still unknown, and this aspect will be affecting to the generation results. Thus, there is a need for further investigation in marketing and consumer research. This book bridges the significant gap in this research area. | |
Разместил: Ingvar16 25-11-2022, 04:36 | Комментарии: 0 | Подробнее
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 Название: Statistical Foundations of Actuarial Learning and its Applications
Автор: Mario V. Wuthrich, Michael Merz
Издательство: Springer
Год: 2023
Страниц: 611
Язык: английский
Формат: pdf (true)
Размер: 24.0 MB
Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern Machine Learning tools such as neural networks and text recognition to improve predictive modeling with complex features. In the sequel, we introduce Deep Learning models. In this chapter these Deep Learning models will be based on fully-connected feed-forward neural networks. We present these networks as an extension of Generalized Linear Models (GLMs). These networks perform feature engineering themselves. We discuss how networks achieve this, and we explain how networks are used for predictive modeling. There is a vastly growing literature on Deep Learning with networks, the classical reference is the book of Goodfellow et al., but also the numerous tutorials around the open-source Deep Learning libraries TensorFlow, Keras or PyTorch give an excellent overview of the state-of-the-art in this field. | |
Разместил: Ingvar16 25-11-2022, 03:51 | Комментарии: 0 | Подробнее
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 Название: Machine Learning for Cyber Security
Автор: Preeti Malik, Lata Nautiyal, Mangey Ram
Издательство: De Gruyter
Год: 2023
Страниц: 160
Язык: английский
Формат: pdf (true), epub
Размер: 22.8 MB
Cyber threats today are one of the expensive losses that an organization can face. Today, it is impossible to deploy effective cybersecurity technology without relying heavily on advanced techniques like Machine Learning and Deep Learning. Cybersecurity is a growing challenge in the era of Internet. This book addresses questions of how Machine Learning methods can be used to advance cybersecurity objectives, including detection, modeling, monitoring, and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between Machine Learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical Machine Learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points. This cybersecurity book presents and demonstrates popular and successful Artificial Intelligence (AI) approaches and models that you can adapt to detect potential attacks and protect your corporate systems. | |
Разместил: Ingvar16 24-11-2022, 14:36 | Комментарии: 0 | Подробнее
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 Название: Machine Learning Algorithms for Signal and Image Processing
Автор: Deepika Ghai, Suman Lata Tripathi, Sobhit Saxena
Издательство: Wiley-IEEE Press
Год: 2023
Страниц: 487
Язык: английский
Формат: pdf (true)
Размер: 18.7 MB
Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing. Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve Machine Learning tasks. | |
Разместил: Ingvar16 24-11-2022, 13:41 | Комментарии: 0 | Подробнее
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