Informatyka
Neural Networks with R. Build smart systems by implementing popular deep learning models in R
Balaji Venkateswaran, Giuseppe Ciaburro
Neural networks are one of the most fascinating machine learning models for solving complex computational problems efficiently. Neural networks are used to solve wide range of problems in different areas of AI and machine learning.This book explains the niche aspects of neural networking and provides you with foundation to get started with advanced topics. The book begins with neural network design using the neural net package, then you’ll build a solid foundation knowledge of how a neural network learns from data, and the principles behind it. This book covers various types of neural network including recurrent neural networks and convoluted neural networks. You will not only learn how to train neural networks, but will also explore generalization of these networks. Later we will delve into combining different neural network models and work with the real-world use cases.By the end of this book, you will learn to implement neural network models in your applications with the help of practical examples in the book.
Neuro-Symbolic AI. Design transparent and trustworthy systems that understand the world as you do
Alexiei Dingli, David Farrugia
Neuro-symbolic AI offers the potential to create intelligent systems that possess both the reasoning capabilities of symbolic AI along with the learning capabilities of neural networks. This book provides an overview of AI and its inner mechanics, covering both symbolic and neural network approaches.You’ll begin by exploring the decline of symbolic AI and the recent neural network revolution, as well as their limitations. The book then delves into the importance of building trustworthy and transparent AI solutions using explainable AI techniques. As you advance, you’ll explore the emerging field of neuro-symbolic AI, which combines symbolic AI and modern neural networks to improve performance and transparency. You’ll also learn how to get started with neuro-symbolic AI using Python with the help of practical examples. In addition, the book covers the most promising technologies in the field, providing insights into the future of AI.Upon completing this book, you will acquire a profound comprehension of neuro-symbolic AI and its practical implications. Additionally, you will cultivate the essential abilities to conceptualize, design, and execute neuro-symbolic AI solutions.
Tomasz Rymarczyk Krzysztof Król
This publication was prepared as a permanent record of research findings presented by doctoral students and academics representing diverse research backgrounds and schools. The focus is on interdisciplinary solutions, combining engineering, computer science, and mathematical methods with approaches relevant to management science and socio-economic applications. The International Interdisciplinary PhD Workshop (IIPhDW) is a cyclical and international conference, and its primary function is to provide a platform for research presentations, knowledge exchange, and collaboration between young scientists from various disciplines. The 2025 edition featured a particularly strong technical component, encompassing artificial intelligence, computer science, automation and control, robotics and mechatronics, telecommunications, signal processing, as well as mechanical and production engineering. At the same time, the inclusion of topics in economics and management confirmed the workshop's broad scope and its ability to integrate research perspectives relevant to contemporary technological and organizational challenges. A significant group of publications includes works on process and biomedical tomography, as well as image reconstruction methods using machine learning and deep learning, including approaches combining physical models with neural network architectures. Examples include research on image reconstruction in electrical impedance tomography, the integration of tomography with neural networks for industrial process monitoring, and the use of ultrasound tomography in measurement and reconstruction analysis. This theme is further reinforced by works on hybrid tomography systems, process monitoring using mixed reality technology, and applications in the areas of physiological parameter monitoring and non-invasive diagnostics. The second recognizable axis is artificial intelligence in IT and cyberphysical systems, encompassing both the construction of predictive and classification models and their implementation in industrial, medical, and service environments. This trend includes work related to the application of machine learning methods in system and network security, solutions based on LLM agents in project team workflows, processing unstructured data using OCR and language models, and multimodal analysis in intelligent customer service systems. This perspective highlights the contemporary trend of convergence of AI techniques with data engineering, software engineering, and systems integration, which has direct implications for the design of scalable implementation solutions. The third thematic area covers embedded systems, communication, and signal processing, along with elements of computational resource optimization. The monograph includes papers on, among other things, phase shift estimation in noisy environments, pseudorandom sequence generation, acoustic feature detection, and the efficiency of machine learning applications at the network edge in the context of Kubernetes scheduling heuristics. In the monograph, this strand serves a methodological purpose, providing signal analysis tools and computational mechanisms that form the foundation for many AI and measurement system applications. A significant complement to the technical perspective are works in the areas of management and organizational and economic analysis, which address the need to understand the determinants of technology implementation and the conduct of innovative projects. The publications address, among other things, the predictors of success in startup management and the analysis of organizational improvements in public institutions. Their presence strengthens the interdisciplinary nature of the monograph by demonstrating that the effectiveness of engineering solutions depends not only on the quality of algorithms and devices, but also on the organizational, process, and decision-making context. The monograph is intended as a reference for academics and doctoral students, particularly those seeking examples of research that combines theory with application. The collected papers offer a comprehensive overview of research activities typical of early careers in science, from conceptual studies and method analysis, through device and software architecture prototyping, to experiments and evaluation of the effectiveness of proposed solutions. At the same time, the publication allows for the identification of common methodological denominators, such as the growing importance of measurement data, simulation, deep learning, systems integration, and the pursuit of real-time operation in industrial and biomedical environments. The introduction, on the one hand, contextualizes the monograph within the mission of IIPhDW as a workshop supporting researcher development and the internationalization of research. On the other hand, it organizes the chapter topics in the perspective of dominant technological trends and application needs that permeate various fields. Consequently, the monograph can be viewed as a synthetic overview of current research directions for doctoral students and young academics, as well as an inspiration for undertaking work combining artificial intelligence methods, measurement systems, software engineering, and management analyses within modern interdisciplinary projects.
Susan Nelson Spencer
The field of instructional design offers a rapidly growing, flexible, and rewarding career path. Chances are that if you’re a teacher creating training material, college professor designing educational courses, human resources professional creating learning content, or even a graphic designer curating content, you may already be engaging in instructional designing without even realizing it!This book teaches you all about the four capabilities that are most important to exceling as an instructional designer—teaching, writing, creating, and analyzing. The chapters are designed in a way that provides you with practical tips for day-to-day learning projects through true ID stories. You’ll get familiar with common misconceptions surrounding the field, along with how to overcome your shortcomings. With the help of easy-to-understand real-world case studies and practical tips, each chapter focuses on developing one particular competency to help you grasp the concepts with ease.By the end of this book, you’ll have gained a comprehensive understanding of the key competencies needed to succeed in this field and their importance, and learned how to develop them effectively.
Dale Nguyen
Elevate your UI development skills with Next-Level UI Development with PrimeNG. In a digital landscape where the user interface plays a pivotal role, PrimeNG expertise is essential for Angular developers. This all-encompassing book shows you how to unleash this powerful UI component library in your Angular projects.From the initial setup to integration, you'll explore the synergy between Angular and PrimeNG and how it can help you enhance your projects. You’ll work with a wide range of UI components and features, such as input controls, data display, manipulation, and navigation, which allow you to build intuitive and dynamic user interfaces. You'll also discover advanced techniques and best practices for theming, performance optimization, creating reusable components, and handling internationalization and localization. With insights into testing and debugging PrimeNG components, this book ensures the development of robust and error-free applications, and finally guides you toward putting your knowledge into practice by building a real-world responsive web application.By the end of this book, you will be able to harness the full potential of PrimeNG, enabling you to create extraordinary web experiences that stand out from the rest.
Dave West, Kurt Bittner, Patricia Kong
Popraw i przyspiesz dostarczanie oprogramowania w dużych, rozproszonych i złożonych projektach Nexus to najprostsze i najskuteczniejsze podejście do stosowania Scruma w skali obejmującej wiele zespołów, lokalizacji i stref czasowych. Został utworzony przez Scrum.org pionierską organizację prowadzącą szkolenia i przyznającą certyfikaty dotyczące Scruma. Organizację tę założył Ken Schwaber, współtwórca Scrum. Podczas tworzenia Nexusa wykorzystano dekady doświadczenia, stawiając czoła wyjątkowym wyzwaniom, z którymi mierzą się zespoły, łącząc się, współdzieląc pracę, zarządzając i minimalizując zależności. Nexus, czyli skalowalny Scrum to zwięzła książka, która pokazuje, jak Nexus pomaga zespołom dostarczać złożone, wieloplatformowe, programistyczne produkty w krótkich, częstych cyklach, nie poświęcając spójności ani jakości, nie dodając niepotrzebnej złożoności i nie odchodząc od zasadniczych założeń Scrum. W rozbudowanym studium przypadku autorzy zilustrowali, jak Nexus pomaga rozwiązać typowe wyzwania związane ze skalowaniem, w tym redukcję zależności między zespołami, zachowanie samoorganizacji zespołów i utrzymanie przejrzystości, ta także sprawozdawczość. Zrozum wyzwania dotyczące dostarczania pracy, zintegrowanych przyrostów produktu pochodzących od wielu zespołów oraz dowiedz się, jak odnosi się do nich Nexus. Utwórz Nexus wokół nowego lub istniejącego produktu i naucz się definiować cele i planować pracę zgodnie z Nexusem. Uruchom sprinty w Nexusie, zapewniając przejrzystość postępu, prowadząc skuteczne przeglądy sprintów Nexusa i używając retrospektyw sprintów Nexusa w celu ciągłego udoskonalania. Pokonaj wyzwania związane ze współpracą rozproszonych zespołów.
NGINX Cookbook. Over 70 recipes for real-world configuration, deployment, and performance
Tim Butler
NGINX Cookbook covers the basics of configuring NGINX as a web server for use with common web frameworks such as WordPress and Ruby on Rails, through to utilization as a reverse proxy. Designed as a go-to reference guide, this book will give you practical answers based on real-world deployments to get you up and running quickly. Recipes have also been provided for multiple SSL configurations, different logging scenarios, practical rewrites, and multiple load balancing scenarios. Advanced topics include covering bandwidth management, Docker container usage, performance tuning, OpenResty, and the NGINX Plus commercial features.By the time you've read this book, you will be able to adapt and use a wide variety of NGINX implementations to solve any problems you have.
Valery Kholodkov, Valery I Kholodkov
This book is ideal for skilled web masters and site reliability engineers who want to switch to Nginx or solidify their knowledge of Nginx. Knowledge of Unix and webmaster skills are required.