Название: Серия "Просто о сложном (НиТ)" в 93 книгах + 1CD
Автор: разные
Издательство: НиТ
Год: 2004-2023
Страниц: 1000+
Формат: PDF, DjVu
Размер: 2.8 Гб
Язык: русский

Книжная серия «Просто о сложном» продемонстрирует вам пути решения разнообразных компьютерных проблем, с которыми сталкиваются и начинающие, и опытные пользователи. Вы узнаете о возможностях своего ПК, об особенностях работы его программного обеспечения. Наличие пошаговых инструкций, доступность изложения делают настоящие издания незаменимыми для всех, кто хочет самостоятельно освоить работу на компьютере.

Название: Deep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing
Автор: Gyanendra Verma, Rajesh Doriya
Издательство: Bentham Books
Год: 2023
Страниц: 270
Язык: английский
Формат: pdf (true), epub
Размер: 37.6 MB

This book is a detailed reference guide on Deep Learning and its applications. It aims to provide a basic understanding of Deep Learning and its different architectures that are applied to process images, speech, and natural language. It explains basic concepts and many modern use cases through fifteen chapters contributed by Computer Science academics and researchers. By the end of the book, the reader will become familiar with different Deep Learning approaches and models, and understand how to implement various deep learning algorithms using multiple frameworks and libraries. Machine Learning proved its usefulness in many applications in the domain of Image Processing and Computer Vision, Medical Imaging, Satellite imaging, Remote Sensing, Surveillance, etc ., over the past decade. At the same time, Machine Learning methods themselves have evolved, particularly Deep Learning methods that have demonstrated significant performance over traditional Machine Learning algorithms.

Название: Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications
Автор: Abhishek Majumder, Joy Lal Sarkar, Arindam Majumder
Издательство: Bentham Books
Год: 2023
Страниц: 319
Язык: английский
Формат: pdf (true), epub
Размер: 45.8 MB

Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications captures the state of the art in usage of artificial intelligence in different types of recommendation systems and predictive analysis. The book provides guidelines and case studies for application of artificial intelligence in recommendation from expert researchers and practitioners. A detailed analysis of the relevant theoretical and practical aspects, current trends and future directions is presented. A recommendation System is an intelligent computer-based system that serves as a guide and suggests, as per the preferences of the person. It uses state-of-the-art technologies like Big Data, Machine Learning, Artificial Intelligence, etc., and benefits both the consumer and the merchant. Recommendation System is becoming very popular as it serves as a guide for the activity that a person or a group plans to perform in the best possible manner, given the constraints imposed by the user(s). Software tools and techniques provide advice on items to be used by a user.

Название: Advanced Mathematical Applications in Data Science
Автор: Biswadip Basu Mallik, Kirti Verma, Rahul Kar, Ashok Kumar Shaw
Издательство: Bentham Books
Год: 2023
Страниц: 223
Язык: английский
Формат: pdf (true), epub
Размер: 27.1 MB

Advanced Mathematical Applications in Data Science comprehensively explores the crucial role mathematics plays in the field of Data Science. Each chapter is contributed by scientists, researchers, and academicians. The 13 chapters cover a range of mathematical concepts utilized in Data Science, enabling readers to understand the intricate connection between mathematics and data analysis. The book covers diverse topics, including, Machine Learning models, the Kalman filter, data modeling, artificial neural networks, clustering techniques, and more, showcasing the application of advanced mathematical tools for effective data processing and analysis. With a strong emphasis on real-world applications, the book offers a deeper understanding of the foundational principles behind data analysis and its numerous interdisciplinary applications. This reference is an invaluable resource for graduate students, researchers, academicians, and learners pursuing a research career in mathematical computing or completing advanced data science courses. An Artificial Neural Network (ANN) is a data processing paradigm inspired by the way organic nervous systems, such as the brain, process data.

Название: Numerical Machine Learning
Автор: Zhiyuan Wang, Sayed Ameenuddin Irfan, Christopher Teoh
Издательство: Bentham Books
Год: 2023
Страниц: 225
Язык: английский
Формат: pdf (true), epub
Размер: 32.3 MB

Numerical Machine Learning is a simple textbook on machine learning that bridges the gap between mathematics theory and practice. The book uses numerical examples with small datasets and simple Python codes to provide a complete walkthrough of the underlying mathematical steps of seven commonly used machine learning algorithms and techniques, including linear regression, regularization, logistic regression, decision trees, gradient boosting, Support Vector Machine, and K-means Clustering. Through a step-by-step exploration of concrete numerical examples, the students (primarily undergraduate and graduate students studying machine learning) can develop a well-rounded understanding of these algorithms, gain an in-depth knowledge of how the mathematics relates to the implementation and performance of the algorithms, and be better equipped to apply them to practical problems. From our experiences of teaching Machine Learning using various textbooks, we have noticed that there tends to be a strong emphasis on abstract mathematics when discussing the theories of Machine Learning algorithms. On the other hand, in the application of Machine Learning, it usually straightaway goes to import offthe- shelf libraries such as scikit-learn, TensorFlow, Keras, and PyTorch.

Название: Практическая Криптография
Автор: Нильс Фергюсон, Брюс Шнайер
Издательство: Вильямс
Год выпуска: 2005
Формат: DjVu
Размер: 17 MB
Количество страниц: 416
Язык: Русский

В современном деловом мире вопрос безопасности компьютерных систем приобретает решающее значение. Проигнорировав его, вы лишаете себя возможности заработать деньги, расширить свой бизнес, а, следовательно, ставите под угрозу само существование вашей компании. Одной из наиболее многообещающих технологий, позволяющих обеспечить безопасность в киберпространстве, является криптография.

Название: Processing for Android: Create Mobile, Sensor-aware, and XR Applications Using Processing, 2nd Edition
Автор: Andres Colubri
Издательство: Apress
Год: 2023
Страниц: 401
Язык: английский
Формат: pdf, epub
Размер: 42.0 MB

Learn how to use the Processing programming language and environment to create Android applications with ease. This book covers the basics of the Processing language, allowing users to effectively program interactive graphics in 2D, 3D, and Extended Reality (XR). It also details the application of these techniques to different types of Android devices (smartphones, tablets, wearables, and smartwatches). This updated edition walks you through the entire process of creating an app, from the initial idea to release of the final app via the Google Play App Store. Over the course of the book, you’ll learn to write engaging apps driven by user interaction and sensor data. A comprehensive series of hands-on projects, ranging from simple sketches to more complex projects involving shaders, VR, and AR will give you the firsthand experience you need to begin developing your own projects. And once you have your Processing projects completed, you’ll be able to upload them to the Google Play store to be shared with the world!

Название: The DevSecOps Playbook: Deliver Continuous Security at Speed
Автор: Sean D. Mack
Издательство: Wiley
Год: 2024
Страниц: 241
Язык: английский
Формат: pdf (true), djvu
Размер: 10.2 MB

An essential and up-to-date guide to DevSecOps. In The DevSecOps Playbook: Deliver Continuous Security at Speed, the Chief Information and Information Security Officer at Wiley, Sean D. Mack, delivers an insightful and practical discussion of how to keep your business secure. You'll learn how to leverage the classic triad of people, process, and technology to build strong cybersecurity infrastructure and practices. You'll also discover the shared responsibility model at the core of DevSecOps as you explore the principles and best practices that make up contemporary frameworks. The book explains why it's important to shift security considerations to the front-end of the development cycle and how to do that, as well as describing the evolution of the standard security model over the last few years and how that has impacted modern cybersecurity.

Название: Applications of Optimization and Machine Learning in Image Processing and IoT
Автор: Nidhi Gupta
Издательство: CRC Press
Год: 2024
Страниц: 236
Язык: английский
Формат: pdf (true)
Размер: 10.8 MB

This book presents state-of-the-art optimization algorithms followed by Internet of Things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics including optimization, algorithms and Machine Learning in image processing and IoT. Applications of Optimization and Machine Learning in Image Processing and IoT is a complete reference source, providing the latest research findings and solutions for optimization and machine learning algorithms. The chapters examine and discuss the fields of Machine Learning, IoT and image processing. The field of Computer Science with the fastest growth right now is Machine Learning, which has applications in fields as varied as marketing, health-care, production, cybersecurity and mobility. Three elements are readily available and combined: (1) faster and more potent part of a computer, like multiple cores and broad sense GPU; (2) a computer program that utilizes these computational structures; and (3) essentially unlimited training data sets for a certain issue, like digital photos, digitalized files. The two stages of a computer-vision-based Machine Learning process are feature extraction and classification. Additional Machine Learning models, including ANN, CNN, RNN and others, can be applied for system training and optimization.

Название: Visual Object Tracking using Deep Learning
Автор: Ashish Kumar
Издательство: CRC Press
Год: 2024
Страниц: 216
Язык: английский
Формат: pdf (true)
Размер: 20.3 MB

This book covers the description of both conventional methods and advanced methods. In conventional methods, visual tracking techniques such as stochastic, deterministic, generative, and discriminative are discussed. The conventional techniques are further explored for multi-stage and collaborative frameworks. In advanced methods, various categories of deep learning-based trackers and correlation filter-based trackers are analyzed. Over the past few years, visual tracking algorithms are evolved from conventional frameworks to deep learning-based frameworks. Conventional trackers are fast in processing but are not effective for tedious environmental variations. Conventional trackers are explored as probabilistic, generative, discriminative, and deterministic frameworks. In a direction to improve tracking accuracy, the collaborative and multi-stage tracking frameworks are analyzed for real-time outcomes for tedious tracking problems. Deep Learning trackers provide discriminative features with efficient performance in complex tracking variations. It became necessary to extract the salient features in target appearance models using various deep neural networks.