Название: IoT System Testing: An IoT Journey from Devices to Analytics and the Edge
Автор: Jon Duncan Hagar
Издательство: Apress
Год: 2022
Страниц: 323
Язык: английский
Формат: pdf (true), epub
Размер: 27.2 MB

To succeed, teams must assure the quality of IoT systems. The world of technology continually moves from one hot area to another; this book considers the next explosion—of IoT—from a quality testing viewpoint. You'll first gain an introduction to the Internet of Things (IoT), V&V, and testing. Next, you'll be walked through IoT test planning and strategy over the full life cycle, including the impact of data analytics and AI. You will then delve deeper into IoT security testing and various test techniques, patterns, and more. This is followed by a detailed study of IoT software test labs, architecture, environments and AI.

Название: AI Time Series Control System Modelling
Автор: Chuzo Ninagawa
Издательство: Springer
Год: 2023
Страниц: 243
Язык: английский
Формат: pdf (true), epub
Размер: 44.1 MB

This book describes the practical application of Artificial Intelligence (AI) methods using time series data in system control. This book consistently discusses the application of machine learning to the analysis and modelling of time series data of physical quantities to be controlled in the field of system control. Since dynamic systems are not stable steady states but changing transient states, the changing transient states depend on the state history before the change. In other words, it is essential to predict the change from the present to the future based on the time history of each variable in the target system, and to manipulate the system to achieve the desired change. In short, time series is the key to the application of AI machine learning to system control. This is the philosophy of this book: "time series data" + "AI machine learning" = "new practical control methods".

Название: FastAPI: Modern Python Web Development (Early Release)
Автор: Bill Lubanovic
Издательство: O’Reilly Media, Inc.
Год: 2022-09-14
Язык: английский
Формат: epub
Размер: 10.1 MB

FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. Author Bill Lubanovic covers the nuts and bolts of FastAPI development with how-to guides on various topics such as forms, database access, graphics, maps, and more that will take you beyond the basics. This book also includes how-to guides that will get you up to speed on RESTful APIs, data validation, authorization, and performance. With its similarities to frameworks like Flask and Django, you'll find it easy to get started with FastAPI. Supplemental material (code examples, exercises, etc.) is available for download at GitHub.

Название: Hybrid Intelligent Systems for Information Retrieval
Автор: Anuradha D. Thakare, Shilpa Laddha, and Ambika Pawar
Издательство: CRC Press
Год: 2023
Страниц: 253
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Hybrid Intelligent Systems for Information Retrieval covers three areas along with the introduction to Intelligent IR, i.e., Optimal Information Retrieval Using Evolutionary Approaches, Semantic Search for Web Information Retrieval, and Natural Language Processing for Information Retrieval. This book covers the architectures of modern information systems pertaining to structured and unstructured data retrieval, and there is a detailed discussion on how to develop computational models for retrieval systems. It describes evolutionary approaches for optimal information retrieval and the design of hybrid intelligent information retrieval systems for various applications. The focus is on three key areas: Optimality in Information Retrieval with Evolutionary Algorithms, Semantic Web Information Retrieval, and Natural Language Processing for Information Retrieval. Deep learning methods have proven applicability in information retrieval (IR). Deep learning models eliminate human bias for feature or relevance measure and make it more efficient. Deep learning has a lot of potential to improvise IR. Recurrent neural networks (RNNs) are highly efficient with an internal memory, and it has the most promising algorithms.

Название: Designing Human-Centric AI Experiences: Applied UX Design for Artificial Intelligence
Автор: Akshay Kore
Издательство: Apress
Год: 2022
Страниц: 478
Язык: английский
Формат: pdf (true)
Размер: 13.8 MB

User Experience (UX) design practices are evolving as more and more software products incorporate Machine Learning (ML) components and Artificial Intelligence (AI) algorithms at their core. AI brings a fundamental shift to how we design products. Instead of programming a system to do a specific action, AI teams are responsible for curating outcomes based on algorithms and large amounts of data. AI systems are dynamic, they change over time, and their user experience needs to adapt to this change. The complexity of these systems requires deeper collaborations with various disciplines. The dynamic nature of AI systems calls for a shift in how we think about designing intelligent products and how we work, communicate and collaborate within teams. 'Designing Human-Centric AI Experiences' will explore this problem and address the challenges and opportunities in UX design for AI/ML systems. We look at best practices for designers, managers, and product creators and describe how individuals from non-technical backgrounds can collaborate effectively with AI and Machine learning teams.

Название: Prometheus: Up & Running: Infrastructure and Application Performance Monitoring, 2nd Edition (Early Release)
Автор: Julien Pivotto, Brian Brazil
Издательство: O’Reilly Media, Inc.
Год: 2022-09-15
Язык: английский
Формат: epub (true), mobi
Размер: 10.3 MB

Get up to speed with Prometheus, the metrics-based monitoring system used in production by tens of thousands of organizations. This updated second edition provides site reliability engineers, Kubernetes administrators, and software developers with a hands-on introduction to the most important aspects of Prometheus, including dashboarding and alerting, direct code instrumentation, and metric collection from third-party systems with exporters.

Название: Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python (Second Early Release)
Автор: Sofien Kaabar
Издательство: O’Reilly Media, Inc.
Год: 2022-08-25
Страниц: 366
Язык: английский
Формат: epub (true), mobi
Размер: 10.3 MB

Candlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying patterns for interpreting price action history and forecasts. This A-Z guide shows portfolio managers, quants, strategists, and analysts how to use Python to recognize, scan, trade, and backtest the profitability of candlestick patterns. Pattern recognition and detection is a skill that is mastered by machines better than humans due to their objectivity and therefore, I have dedicated the first chapters of the book to creating the structure of a candlestick pattern recognition algorithm before moving to the later chapters which dig deep with patterns and strategies. This means that the first skill you will learn is how to automate the data import process in Python.

Название: jаvascript: The Comprehensive Guide
Автор: Philip Ackermann
Издательство: Rheinwerk Computing
Год: 2022
Страниц: 982
Язык: английский
Формат: pdf
Размер: 10.5 MB

Begin your jаvascript journey with this comprehensive, hands-on guide. You’ll learn everything there is to know about professional jаvascript programming, from core language concepts to essential client-side tasks. Build dynamic web applications with step-by-step instructions and expand your knowledge by exploring server-side development and mobile development. Work with advanced language features, write clean and efficient code, and much more! Throughout the book, you’ll find useful, hands-on code examples to support your learning. Each of these examples is self-contained, allowing you to learn at your own pace—you can start at the beginning of the book or the middle, and you’ll still be able to follow the exercises.

Название: Погружение в паттерны проектирования (2021)
Автор: Александр Швец
Издательство: Самиздат
Год: 2021 (v2021-2.33)
Страниц: 400
Язык: русский
Формат: pdf
Размер: 28.2 MB

Книга «Погружение в Паттерны Проектирования» описывает 22 классических паттерна проектирования, а также 8 принципов проектирования, на которых они основаны. Каждая глава книги посвящена только одному паттерну. Поэтому книгу можно читать как последовательно, от края до края, так и в произвольном порядке, выбирая только интересные в данный момент паттерны. Паттерны проектирования универсальны. Поэтому все примеры кода в этой книге приведены на псевдокоде, без привязки к конкретному языку программирования.

Название: Applied Machine Learning and AI for Engineers: Solve Business Problems That Can’t Be Solved Algorithmically (Second Early Release)
Автор: Jeff Prosise
Издательство: O’Reilly Media, Inc.
Год: 2022-09-12
Страниц: 207
Язык: английский
Формат: epub (true), mobi
Размер: 16.3 MB

Many introductory guides to AI are mathematics books in disguise. This one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect defective parts coming off an assembly line? This practical book teaches you the skills necessary to put AI and Machine Learning (ML) to work at your company. This book contains numerous code samples that you can run to reinforce the concepts presented in each chapter. Most are written in Python and use popular open-source libraries such as Scikit-learn, Keras, and TensorFlow. All are available in a public GitHub repo.