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: 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.

Название: System Assurances: Modeling and Management (Emerging Methodologies and Applications in Modelling, Identification and Control)
Автор: Prashant Johri, Adarsh Anand, Juri Vain
Издательство: Academic Press/Elsevier
Год: 2022
Страниц: 581
Язык: английский
Формат: pdf (true)
Размер: 22.7 MB

System Assurances: Modeling and Management updates on system assurance and performance methods using advanced analytics and understanding of software reliability growth modeling from today’s debugging team’s point-of-view, along with information on preventive and predictive maintenance and the efficient use of testing resources. The book presents the rapidly growing application areas of systems and software modeling, including intelligent synthetic characters, human-machine interface, menu generators, user acceptance analysis, picture archiving and software systems. At present, many OSS (open source software) are used in many software development organizations. Also, many commercial software have been developed by embedding several OSS components because of standardization, cost reduction, quick delivery, etc. Various methods for software reliability assessment of OSS system have been proposed by several researchers. Moreover, many OSS systems have used the fault tracking systems such as the Bugzilla.

Название: Efficient Go: Data-Driven Performance Optimizations (Sixth Early Release)
Автор: Bartlomiej Plotka
Издательство: O’Reilly Media, Inc.
Год: 2022-09-12
Страниц: 523
Язык: английский
Формат: epub (true), mobi
Размер: 14.5 MB

Software engineers today typically put performance optimizations low on the list of development priorities. But despite significant technological advancements and lower-priced hardware, software efficiency still matters. With this book, Go programmers will learn how to approach performance topics for applications written in this open source language. Go is efficient, scalable, and productive. Some programmers find it fun to work in; others find it unimaginative, even boring, ... those are not contradictory positions. Go was designed to address the problems faced in software development at Google, which led to a language that is not a breakthrough research language but is nonetheless an excellent tool for engineering large software projects. I am a huge fan of the Go programming language.

Название: Quantum Key Distribution Networks: A Quality of Service Perspective
Автор: Miralem Mehic, Stefan Rass, Peppino Fazio
Издательство: Springer
Год: 2022
Страниц: 232
Язык: английский
Формат: pdf (true), epub
Размер: 28.3 MB

This book focuses on practical implementation details, telecommunication techniques, security and technology challenges and approaches to implementing quantum technology in modern telecommunication systems. Through numerous information on practical solutions, simulation examples, illustrations, and analysis, readers can easily distinguish the specificity of quantum technology and understand the challenges and methods of practical implementation of quantum cryptography in common telecommunications standards. Researchers working in quantum technology and applied networking security as well as advanced-level students studying computer science and electrical engineering will benefit from this book. Professionals working within these related fields will also benefit from this book.

Название: Applications of Computational Intelligence in Multi-Disciplinary Research
Автор: Ahmed A. Elngar, Rajdeep Chowdhury, Valentina Emilia Balas
Издательство: Academic Press/Elsevier
Год: 2022
Страниц: 212
Язык: английский
Формат: pdf (true)
Размер: 15.4 MB

Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of Computational Intelligence (CI) to a wide spectrum of research cases. The book covers the main approaches used in Computational Intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. Computational intelligence (CI) is a paradigm of natural environment-inspirited computational methodologies, which provides solutions to strenuous real-life problems where mathematical and traditional modeling are rendered useless.