Название: Embedded System Design with ARM Cortex-M Microcontrollers: Applications with C, C++ and MicroPython
Автор: Cem Unsalan, Huseyin Deniz Gurhan, Mehmet Erkin Yucel
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 576
Размер: 11 Mb
Язык: English

This textbook introduces basic and advanced embedded system topics through Arm Cortex M microcontrollers, covering programmable microcontroller usage starting from basic to advanced concepts using the STMicroelectronics Discovery development board. Designed for use in upper-level undergraduate and graduate courses on microcontrollers, microprocessor systems, and embedded systems, the book explores fundamental and advanced topics, real-time operating systems via FreeRTOS and Mbed OS, and then offers a solid grounding in digital signal processing, digital control, and digital image processing concepts ― with emphasis placed on the usage of a microcontroller for these advanced topics.

Название: Time Series Forecasting using Deep Learning: Combining PyTorch, RNN, TCN, and Deep Neural Network Models to Provide Production-Ready Prediction Solutions
Автор: Ivan Gridin
Издательство: BPB Publications
Год: 2022
Страниц: 317
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Explore the infinite possibilities offered by Artificial Intelligence and Neural Networks. This book is amid at teaching the readers how to apply the deep learning techniques to the time series forecasting challenges and how to build prediction models using PyTorch. The readers will learn the fundamentals of PyTorch in the early stages of the book. Next, the time series forecasting is covered in greater depth after the programme has been developed. You will try to use machine learning to identify the patterns that can help us forecast the future results. It covers methodologies such as Recurrent Neural Network, Encoder-decoder model, and Temporal Convolutional Network, all of which are state-of-the-art neural network architectures. Furthermore, for good measure, we have also introduced the neural architecture search, which automates searching for an ideal neural network design for a certain task.

Название: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Автор: Roger Lee
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 205
Размер: 14,4 Mb
Язык: English

This edited book presents scientific results of the 21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2021-Winter) which was held on January 28"“30, at Ho Chi Minh City, Vietnam. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, 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 and 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.

Название: Sams Teach Yourself C++ in One Hour a Day, 9th Edition
Автор: Siddhartha Rao
Издательство: Pearson Education
Год: 2022
Формат: ePUB
Страниц: 848
Размер: 61,5 Mb
Язык: English

In just one hour a day, you will have all the skills you need to begin programming in C++. With this complete tutorial, you will quickly master the basics, and then move on to more advanced features and concepts. Completely updated for the latest C++ standard, this book presents the language from a practical point of view, helping you learn how to use C++ to create faster, simpler, and more efficient C++ applications.

Название: Глубокое обучение с подкреплением теория и практика на языке Python
Автор: Грессер Л., Кенг В.
Издательство: Питep
Год: 2022
Формат: PDF
Страниц: 416
Размер: 10 Mb
Язык: Русский

Глубокое обучение с подкреплением (глубокое RL) сочетает в себе два подхода к машинному обучению. В ходе такого обучения виртуальные агенты учатся решать последовательные задачи о принятии решений. За последнее десятилетие было много неординарных достижений в этой области — от однопользовательских и многопользовательских игр, таких как го и видеоигры Atari и Dota 2, до робототехники.

Название: Применение DDD и шаблонов проектирования. Проблемно-ориентированное проектирование приложений с примерами на C# и .NET
Автор: Джимми Нильссон
Издательство: Вильямс
Год: 2008
ISBN: 978-5-8459-1296-1, 0-321-26820-2
Формат: pdf
Страниц: 541
Размер: 31,1 Mb
Язык: Русский

Эта книга о разработке корпоративных программных приложений в среде .NET с применением шаблонов проектирования. В ней описаны: проблемно-ориентированные методы проектирования (DDD, или Domain Driven Design), разработка посредством тестирования (TDD, или Test-Driven Development), объектно-реляционное преобразование, т.е. методы, которые многие относят к ключевым технологиям разработки программного обеспечения.

Название: Mastering API Architecture: Defining, Connecting, and Securing Distributed Systems and Microservices (Third Early Release)
Автор: James Gough, Daniel Bryant
Издательство: O’Reilly Media, Inc.
Год: 2022-01-12
Страниц: 196
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Most organizations with a web presence build and operate APIs; the doorway for customers to interact with the company's services. Designing, building, and managing these critical programs affect everyone in the organization, from engineers and product owners to C-suite executives. But the real challenge for developers and solution architects is creating an API platform from the ground up. With this practical book, you'll learn strategies for building and testing REST APIs that use API gateways to combine offerings at the microservice level.

Название: Reliable Machine Learning: Applying SRE Principles to ML in Production (Third Early Release)
Автор: Cathy Chen, Niall Richard Murphy, Kranti Parisa
Издательство: O’Reilly Media, Inc.
Год: 2022-01-12
Страниц: 144
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Whether you're part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization. By applying an SRE mindset to machine learning, authors and engineering professionals Cathy Chen, Kranti Parisa, Niall Richard Murphy, D. Sculley, Todd Underwood, and featured guests show you how to run an efficient ML system. Whether you want to increase revenue, optimize decision-making, solve problems, or understand and influence customer behavior, you'll learn how to perform day-to-day ML tasks while keeping the bigger picture in mind.

Название: Remote Sensing Digital Image Analysis, 6th Edition
Автор: John A. Richards
Издательство: Springer
Год: 2022
Страниц: 576
Язык: английский
Формат: pdf (true)
Размер: 12.2 MB

Remote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data. Over the past decade there have been continuing and significant developments in the algorithms used for the analysis of remote sensing imagery, even though many of the fundamentals have substantially remained the same. As with its predecessors this new edition again presents material that has retained value but also includes newer techniques, covered from the perspective of operational remote sensing. Although the principal focus of the treatment is on digital image interpretation and the analytical techniques that make that possible, the material is located within the domain of remote sensing applications. That means project objectives are as important as finding the best-performing algorithm. Algorithms need to be incorporated into methodologies that can generate optimal results from a careful combination of procedures, and in which the steps of choosing reference material to support the process and for assessing accuracy, may be just as important as algorithm performance. While algorithm performance is a key objective in the Machine Learning (ML) remote sensing research community, it is project outcomes that drive the remote sensing applications specialist.

Название: A Systematic Approach to Learning Robot Programming with ROS
Автор: Wyatt Newman
Издательство: Chapman and Hall/CRC
Год: 2018
Страниц: 530
Язык: английский
Формат: epub
Размер: 48.9 MB

A Systematic Approach to Learning Robot Programming with ROS provides a comprehensive, introduction to the essential components of ROS through detailed explanations of simple code examples along with the corresponding theory of operation. The book explores the organization of ROS (Robot Operating System), how to understand ROS packages, how to use ROS tools, how to incorporate existing ROS packages into new applications, and how to develop new packages for robotics and automation. It also facilitates continuing education by preparing the reader to better understand the existing on-line documentation.