John Wiley & Sons, 2024. — 319 p. Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through...
Gianluca Malato, 2025. — 190 p. Are you already familiar with Python and looking to apply it to statistics to become a data analyst or data scientist? This book is the hands-on resource you need. This manual is designed for those who want to strengthen their skills in applied statistics with Python. The book is entirely made up of solved exercises, with detailed solutions and...
Manning Publications, 2025. — 378 p. Automate and accelerate everyday IT tasks using Generative AI! Read this book, and you may never write another “after incident” report from scratch again! AI for Everyday IT reveals how you can automate dozens of your daily IT tasks with Generative AI—including writing email and reports, setting up a chatbot to field helpdesk requests,...
Springer, 2022. — 803 p. This book constitutes the proceedings of the 34th Australasian Joint Conference on Artificial Intelligence, AI 2021, held in Sydney, NSW, Australia, in February 2022.* The 64 full papers presented in this volume were carefully reviewed and selected from 120 submissions. The papers were organized in topical sections named: Ethical AI, Applications,...
Independently published, 2024. — 521 p. Unveil the power of AI with this comprehensive guide to the fundamental mathematical foundations behind it. Whether you're a beginner or an advanced learner, this book is the perfect resource to dive deep into the mathematics that underpin Artificial Intelligence (AI) and Machine Learning. With clear explanations and practical examples,...
HighTech Tecnologias, 2024. — 40 p. Dive into the transformative world of Artificial Intelligence (AI) with "Master the Age of Artificial Intelligences", a comprehensive guide designed to empower individuals to thrive in the rapidly evolving AI landscape. This book offers a practical approach to understanding and leveraging AI technologies in your personal and professional...
Berlin: de Gruyter, 2025. — 212 p. Mathematical optimization and Machine Learning are closely related. This proceedings volume of the Thematic Einstein Semester 2023 of the Berlin Mathematics Research Center MATH+ collects recent progress on their interplay in topics such as discrete optimization, nonlinear programming, optimal control, first-order methods, multilevel...
Springer, 2025. — 150 p. This book addresses the critical challenge of limited training data in deep learning for computer vision by exploring and evaluating various image augmentation techniques, with a particular emphasis on deep learning-based methods.
Калининград: 2021. — 242 с. Представлены теоретические и прикладные основы гибридного вычислительного интеллекта как перспективного, междисциплинарного научного направления, позволяющего на основе гибких вычислений интегрировать точные, неточные и неопределенные знания в одной системе и управлять ими, обеспечивая моделирование сложных, в том числе нелинейных, процессов и...
Springer, 2025. — 407 p. This book introduces the CAML model, a novel integration of Cellular Automata (CA) and Machine Learning (ML), designed to deliver e?cient computation with minimal training data and low computing resources. CAML operates through two key perspectives: one where CA is enhanced by ML to handle complex non-linear evolution, and another where CA strengthens...
Morgan Kaufmann/Elsevier, 2024. — 244 p. Neural Network Algorithms and Their Engineering Applications presents the relevant techniques used to improve the global search ability of neural network algorithms in solving complex engineering problems with multimodal properties. The book provides readers with a complete study of how to use artificial neural networks to design a...
Boca Raton: CRC Press, 2025. — 340 p. Parallel and High-Performance Computing in Artificial Intelligence explores high-performance architectures for data-intensive applications as well as efficient analytical strategies to speed up data processing and applications in automation, Machine Learning, Deep Learning, healthcare, bioinformatics, natural language processing (NLP), and...
Packt Publishing, 2025. — 288 p. Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systems Key Features Understand the foundations and advanced techniques of building intelligent, autonomous AI agents Learn advanced techniques for reflection, introspection, tool use, planning, and...
Springer Nature Singapore, 2025. — 242 p. This book presents the theoretical foundations of the MDATA cognitive model and its applications in the field of cybersecurity. The MDATA model is an innovative analytical tool designed to simulate and improve cognitive processes. It bridges cognitive science and cybersecurity, making it essential for professionals and researchers in...
Национальный Открытый Университет "Интуит", 2016. — 429 с. Рассмотрены основы нового направления в теории искусственного интеллекта, включающего эволюционные вычисления и роевые алгоритмы. В курсе изложены основные теоретические и методологические материалы по эволюционным вычислениям, которые являются самостоятельным направлением в теории интеллектуальных систем....
Springer, 2021. — 251 p. This book intends to introduce some recent results on passivity of complex dynamical networks with single weight and multiple weights. The book collects novel research ideas and some definitions in complex dynamical networks, such as passivity, output strict passivity, input strict passivity, finite-time passivity, and multiple weights. Furthermore, the...
Routledge, 2025. — 358 p. In an era where Artificial Intelligence (AI) drives unprecedented change, Debiasing AI examines the vital intersection of technology, innovation, and sustainability. This book confronts the pressing challenge of bias in AI systems, exploring its far-reaching implications for fairness, trust, and ethical practices. Through a multidisciplinary lens, the...
Издание автора, 2024. — 42 с. В отличии от других моих книг, связанных с данной тематикой (например, «Элементы комбинаторики, теории вероятностей и математической статистики») эта книга, в основном, на более чем 20 примерах и задачах комбинаторики, показывает, как можно успешно использовать нейросети при их решении.
Springer Nature Switzerland, 2025. — 213 p. This book mainly presents methods based on neural dynamics for the time-varying problems with applications, together with the corresponding theoretical analysis, simulative examples, and physical experiments. Based on these methods, their applications include motion planning of redundant manipulators, filter design, winner-take-all...
Intelliz Press, 2021. — 302 p. A genetic algorithm (GA) is a search and optimization method which works by mimicking the evolutionary principles and chromosomal processing in natural genetics. Genetic algorithm is a multi-path algorithm that searches many peaks in parallel, hence reducing the possibility of local minimum trapping and solve the multi-objective optimization...
2nd edition. — Boca Raton: CRC Press, 2025. — 242 p. A Concise Introduction to Machine Learning uses mathematics as the common language to explain a variety of Machine Learning concepts from basic principles and illustrates every concept using examples in both Python and MatLAB, which are available on GitHub and can be run from there in Binder in a web browser. Each chapter...
Hoboken: Wiley, 2025. — 304 p. The Essential Guide to AI and Generative AI Product Creation from a Veteran AI Leader and Educator. In Successful AI Product Creation: A 9-Step Framework, AI product leader, professor of product management and AI, and industry expert, Prof. Shub Agarwal delivers the ultimate playbook—a comprehensive, step-by-step guide to Building, Scaling, and...
Самара: ПГУТИ, 2021. — 164 с. Учебник предназначен для аспирантов, обучающихся по специальности 1.3.4 – Радиофизика. В пособии приведены не только теоретические сведения из наиболее известных источников, уже ставших на данный момент классикой, но и примеры из практики по применению освещенных подходов, теорий, гипотез и методов к системам из различных областей науки и техники....
Springer, 2025. — 166 p. This book systematically examines scalability and effectiveness challenges related to the application of graph convolutional networks (GCNs) in recommender systems. By effectively modeling graph structures, GCNs excel in capturing high-order relationships between users and items, enabling the creation of enriched and expressive representations. The book...
Springer, 2025. — 202 p. This book unlocks the full potential of modern AI systems through a meticulously structured exploration of concepts, techniques, and practical applications. This comprehensive book bridges theoretical foundations with real-world implementations, offering readers a unique perspective on the rapidly evolving field of generative technologies. From...
Интернет-издание, 2025. — 128 с. При решении задач машинного обучения и анализа данных важным этапом является «разведочный анализ данных» (EDA – Exploratory Data Analysis): исследователи делают визуализацию набора данных (датасета) и на основе её анализа понимают смысл частей данных, делают гипотезы о зависимостях в данных, обнаруживают нелогичности и артефакты (пропуски,...
Springer, 2025. — 222 p. This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize Deep Learning models with Computer Vision. Deep Learning is integrated with Computer Vision to enhance the performance of image classification with localization, object detection, object...
O’Reilly Media, 2025. — 765 p. Transformer-based language models are powerful tools for solving a variety of language tasks and represent a phase shift in the field of natural language processing. But the transition from demos and prototypes to full-fledged applications has been slow. With this book, you'll learn the tools, techniques, and playbooks for building useful products...
WSPC, 2025. — 305 p. Due to the rapid emergence of the development and use of Analytics and AI in organizations, this book focuses on these aspects related to digital transformation. We are in the midst of the GenAI craze, with prompt engineering, large language models, and AI ethics playing key roles. According to estimates, about 329 million terabytes of data are created each...
Mercury Learning and Information, 2025. — 217 p. In the constantly changing field of Artificial Intelligence (AI), effective communication and prompt engineering have become essential for developers, researchers, and tech enthusiasts to guide and improve AI. Optimizing Prompt Engineering for Generative AI provides in-depth insight into the techniques and skills needed to create...
New Jersey: World Scientific, 2025. — 186 p. Computational Global Macro offers investors a new paradigm for the analysis of geopolitical risk. By drawing on game theory, reinforcement learning, and causal inference, the book provides investors with a novel framework for analyzing the political and economic interactions between global actors. In doing so it presents a...
MDPI, 2024. — 226 p. Due to rapid developments in computing, communication, and sensing technology, multi-agent systems have become increasingly ubiquitous. Their applications include mobile sensor networks, autonomous vehicles, intelligent transportation systems, and smart grids. The complex unknown environment and inaccurate dynamics prose additional challenges for the...
Mad Egg LLC, 2025. — 163 p. Unlock the secrets behind turning simple questions into groundbreaking conversations with AI! Whether you're a seasoned developer, an aspiring digital strategist, or just an AI enthusiast eager to level up your skills, this book is your ultimate guide to harnessing the full power of language models.
Educohack Press, 2025. — 298 p. "Python-Based Evolutionary Algorithms for Engineers" is a comprehensive guide designed to empower engineers with the knowledge and skills needed to harness the power of evolutionary algorithms in optimization tasks. We seamlessly integrate theoretical foundations with hands-on implementation, making it accessible to both beginners and seasoned...
Boca Raton: CRC Press, 2025. — 104 p. This book explores the application of the complex relationship between concept drift and cutting-edge large language models (LLMs) to address the problems and opportunities in navigating changing data landscapes. It discusses the theoretical basis of concept drift and its consequences for large language models, particularly the...
М.: Наука, 1970. — 384 с. Особенность процедур метода потенциальных функций состоит в том, что при их применении к конкретным задачам приходится каждый раз выбирать вид некоторой функции, содержащейся в этой процедуре (такая функция называется «потенциальной»), либо выбирать систему функций, по которой могут раскладываться в ряды как потенциальная функция, так и выстраиваемые...
Springer, 2025. — 298 p. Deep Learning has significantly reshaped a variety of technologies, such as image processing, natural language processing (NLP), and audio processing. The excellent generalizability of Deep Learning is like a “cloud” to conventional complexity-based learning theory: the over-parameterization of Deep Learning makes almost all existing tools vacuous. This...
Academic Press, 2025. — 1220 p. Machine Learning: From the Classics to Deep Networks, Transformers and Diffusion Models, Third Edition starts with the basics, including least squares regression and maximum likelihood methods, Bayesian decision theory, logistic regression, and decision trees. It then progresses to more recent techniques, covering sparse modelling methods,...
Wiley-ISTE, 2025. — 245 p. Artificial Intelligence (AI) is currently one of the most talked-about technologies, both among scientists and in public media. Several factors have contributed to its development in recent years. The first is access to vast quantities of data, such as in the industrial field, the advent of Industry 4.0, which promotes automation and data sharing in...
True Positive Inc., 2025. — 209 p. Master language models through mathematics, illustrations, and code?and build your own from scratch! The Hundred-Page Language Models Book by Andriy Burkov, the follow-up to his bestselling The Hundred-Page Machine Learning Book (now in 12 languages), offers a concise yet thorough journey from language modeling fundamentals to the cutting edge...
Boca Raton: CRC Press, 2025. — 325 p. This book explores the role of embedded AI in revolutionizing industries such as healthcare, transportation, manufacturing, and retail. It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. A key focus of this book is developing efficient and effective algorithms and models for...
Springer, 2025. — 256 p. Mathematical chaos in neural networks is a powerful tool that reflects the world’s complexity and has the potential to uncover the mysteries of the brain’s intellectual activity. Through this monograph, the authors aim to contribute to modern chaos research, combining it with the fundamentals of classical dynamical systems and differential equations....
Высшая Школа Экономики, 2022. — 266 с. В пособии рассмотрены такие основные разделы теории нечетких множеств, как нечеткие отношения, нечеткие числа, нечеткий логический вывод, а также прикладные разделы, связанные с применением нечеткой математики в анализе данных (нечеткая регрессия, нечеткая кластеризация, нечеткая классификация) и принятии решений (нечеткая оптимизация,...
Wiley-IEEE Press, 2025. — 347 p. Thorough review of foundational concepts and advanced techniques in natural language processing (NLP) and its impact across sectors. Supported by examples and case studies throughout,Language Intelligence provides an in-depth exploration of the latest advancements in natural language processing (NLP), offering a unique blend of insight on...
Boca Raton: CRC Press, 2009. — 410 p. First introduced two decades ago, the term ubiquitous computing is now part of the common vernacular. Ubicomp, as it is commonly called, has grown not just quickly but broadly so as to encompass a wealth of concepts and technology that serves any number of purposes across all of human endeavor. While such growth is positive, the newest...
Springer, 2025. — 514 p. About half a century ago, AI pioneers like Marvin Minsky embarked on the ambitious project of emulating how the human mind encodes and decodes meaning. While today we have a better understanding of the brain thanks to neuroscience, we are still far from unlocking the secrets of the mind, especially when it comes to language, the prime example of human...
Boca Raton: CRC Press, 2024. — 663 p. The conference brought together a diverse group of scholars, researchers, and industry professionals to engage in meaningful discussions and share insights on cutting-edge trends in Artificial Intelligence (AI), Machine Learning, Data Science, and their multifaceted applications. This collaboration and knowledge exchange fostered an...
Издательские решения, 2023. — 27 с. Эта книга — всеобъемлющее руководство для всех, кто заинтересован в том, чтобы стать оператором искусственного интеллекта. В нем рассматриваются основы искусственного интеллекта, работа GPT-чата и рекомендации по его использованию в операциях с искусственным интеллектом. В нем также обсуждается роль оператора искусственного интеллекта,...
Cuantum Technologies, 2024. — 599 p. Are you fascinated by the power of language and eager to harness its potential using cutting-edge technology? Do you want to transform raw text data into valuable insights, build intelligent systems, and stay ahead in the rapidly evolving field of Natural Language Processing (NLP)? Look no further! this book is here to equip you with the...