Feeling overwhelmed by the volume of data in your research? Sifting through massive amounts of data to find useful insights is becoming increasingly difficult in drug discovery, genetics, and healthcare. Enter the era of generative AI with LangChain,...Loe edasi...
Giuseppe Calafiore, Laurent El Ghaoui, Giulia Fracastoro, Alicia Tsai
(Ilmumisaeg: 17-Jul-2025, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009432245)
Finance professionals and graduate students in financial engineering, business, and data science alike will learn to confidently analyze, interpret and act on financial data with this practical introduction to the fundamentals of financial data scien...Loe edasi...
Signal Processing and Biomedical Engineering Research: Applications of Machine Learning Based on Big Data Principles contains expanded versions of selected contributions from the 2024 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SP...Loe edasi...
This book provides a comprehensive and accessible guide to the rapidly growing field of AI security, addressing the threats, vulnerabilities, and defensive strategies that shape modern machine-learning systems. The book examines how adversaries expl...Loe edasi...
As machine learning capabilities and functionality increases, more industry experts and researchers are integrating applied machine learning into their research. Applied Machine Learning in Chemical Process Engineering: A Practical Approach se...Loe edasi...
This book addresses the technological contributions and developments of advanced hardware for Machine Learning (ML) computing systems. The authors discuss state-of-the-art progress in this area (and related topics) as well as reporting on their appl...Loe edasi...
This book offers a comprehensive study of medical image processing, with an emphasis on methods to enhance the accuracy and readability of medical images for diagnosis and therapy. Its main goals are to improve the visual clarity of images by sharpe...Loe edasi...
This is the first textbook focusing on practicality of machine learning (ML) and deep neural networks (DNN), by introducing methods that enable engineering applications of ML and DNN models. The authors describe many methodologies that are widely us...Loe edasi...
Online experimentation is now essential for modern software and machine learning teams. This book provides an engineer-first, end-to-end guide to building and operating production-ready experimentation platforms. The book begin...Loe edasi...
This book explores the integration and interplay of model-based optimization and model-free deep reinforcement learning (DRL). It addresses the growing complexity of future wireless networks. This book begins with a concise overview of foundational...Loe edasi...
This book takes readers on a journey through the intricate web of contemporary transportation systems, offering unparalleled insights into the strategies, technologies, and methodologies shaping the movement of people and goods in urban landscapes....Loe edasi...
This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and el...Loe edasi...
This book stands out in the field due to its interdisciplinary approach, integrating cutting-edge computational methods with environmental sciences to offer practical solutions for sustainable development. One of the most important worldwide issues...Loe edasi...
This book explores the application of machine learning techniques to model the interplay between psycho-physiological, anthropometric, and fitness variables in youth badminton athletes. The data presented in this book were collected across multiple...Loe edasi...
This book bridges advanced mathematical foundations with real-world implementation, offering readers practical insight into deep learning architectures, reinforcement learning, predictive modeling, digital twins, and intelligent optimization systems...Loe edasi...
This book explores the emerging paradigm of Agentic AI, where Large Language Models (LLMs) and Reinforcement Learning (RL) converge to create intelligent, autonomous, and adaptive systems. It provides a unified theoretical foundation and connects it...Loe edasi...
This book is a comprehensive guide for business leaders, CXOs, and technical architects looking to adopt Generative AI technologies to create innovative applications for their organizations and clients. The book is d...Loe edasi...
The book offers an in-depth exploration of federated learning and its transformative impact on the healthcare industry. It begins by introducing the foundational concepts of federated learning, including its methods and applications within various...Loe edasi...
This book is a comprehensive exploration of the dynamic and transformative world of AI and ML. It takes readers on a journey through the foundational principles, diverse algorithms, and real-world applications of these cutting-edge technologies. It...Loe edasi...
This book is a practical, end-to-end guide for engineers and practitioners who want to move beyond prototypes and confidently deploy machine learning and large language model solutions in real-world environments. This book guid...Loe edasi...
Artificial Intelligence (AI) is taking over the world, becoming an essential part of our daily lives. Self-driving cars, medical diagnoses, robotic processes, chatbots, and urban planning are just a few examples of how AI is being used. But what exa...Loe edasi...
This book masters the critical skill of selective data removal from AI systemsessential for regulatory compliance and ethical AI development. This comprehensive book bridges the gap between theoretical foundations and practical implementation, offer...Loe edasi...
With cybercrime costs exceeding 10.5 trillion annually and ransomware attacks predicted every two seconds by 2031, traditional signature-based security has reached critical breaking points. Guide to AI for Cybersecurity provides the essential roadm...Loe edasi...
A practical guide to the use of FPGAs for deep learning and its real-world applications in signal processing In Deep Learning Meets FPGA, a team of distinguished researchers delivers an expert discussion on how to use field...Loe edasi...
The text discusses theoretical background of algorithms and applications of methods using social science problems. It explores different machine-learning approaches to tackle the current issues in the digital world by analyzing social networks. It...Loe edasi...
This is an extensive and comprehensive book, showcasing the applications of machine learning and artificial intelligence in environmental monitoring of the quality of air, soil and water, prediction of environmental risks, optimisation and predict...Loe edasi...
This proceedings volume is a collection of 35 chapters presented at the Second International Conference on Artificial Intelligence, Machine Learning and Intelligent Systems (ICAMS-2025), held at the National Institute of Technology Hamirpur, Himac...Loe edasi...
This book offers a comprehensive collection of 40 research contributions that explore the diverse and growing impact of machine learning across various domains. By aligning its themes with Sustainable Development Goals (SDG9: Industry, Innovation an...Loe edasi...
This book offers a comprehensive guide to optimization techniques in deep learning, a transformative branch of artificial intelligence that has revolutionized fields from computer vision to healthcare. By bridging the gap between theoretical concept...Loe edasi...
The Large Language Model Recipes book is a comprehensive, practical guide designed to help developers, data scientists, and AI engineers navigate the rapidly evolving landscape of Large Language Models (LLMs). Moving beyond theory, this book provide...Loe edasi...
Signal Processing and Biomedical Engineering Research: Applications of Machine Learning Based on Big Data Principles contains expanded versions of selected contributions from the 2024 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SP...Loe edasi...
This book provides a comprehensive and accessible guide to the rapidly growing field of AI security, addressing the threats, vulnerabilities, and defensive strategies that shape modern machine-learning systems. The book examines how adversaries expl...Loe edasi...
As machine learning capabilities and functionality increases, more industry experts and researchers are integrating applied machine learning into their research. Applied Machine Learning in Chemical Process Engineering: A Practical Approach se...Loe edasi...
This book addresses the technological contributions and developments of advanced hardware for Machine Learning (ML) computing systems. The authors discuss state-of-the-art progress in this area (and related topics) as well as reporting on their appl...Loe edasi...
This book offers a comprehensive study of medical image processing, with an emphasis on methods to enhance the accuracy and readability of medical images for diagnosis and therapy. Its main goals are to improve the visual clarity of images by sharpe...Loe edasi...
This is the first textbook focusing on practicality of machine learning (ML) and deep neural networks (DNN), by introducing methods that enable engineering applications of ML and DNN models. The authors describe many methodologies that are widely us...Loe edasi...
Online experimentation is now essential for modern software and machine learning teams. This book provides an engineer-first, end-to-end guide to building and operating production-ready experimentation platforms. The book begin...Loe edasi...
This book explores the integration and interplay of model-based optimization and model-free deep reinforcement learning (DRL). It addresses the growing complexity of future wireless networks. This book begins with a concise overview of foundational...Loe edasi...
This book takes readers on a journey through the intricate web of contemporary transportation systems, offering unparalleled insights into the strategies, technologies, and methodologies shaping the movement of people and goods in urban landscapes....Loe edasi...
This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and el...Loe edasi...
This book stands out in the field due to its interdisciplinary approach, integrating cutting-edge computational methods with environmental sciences to offer practical solutions for sustainable development. One of the most important worldwide issues...Loe edasi...
This book explores the application of machine learning techniques to model the interplay between psycho-physiological, anthropometric, and fitness variables in youth badminton athletes. The data presented in this book were collected across multiple...Loe edasi...
This book bridges advanced mathematical foundations with real-world implementation, offering readers practical insight into deep learning architectures, reinforcement learning, predictive modeling, digital twins, and intelligent optimization systems...Loe edasi...
This book explores the emerging paradigm of Agentic AI, where Large Language Models (LLMs) and Reinforcement Learning (RL) converge to create intelligent, autonomous, and adaptive systems. It provides a unified theoretical foundation and connects it...Loe edasi...
This book is a comprehensive guide for business leaders, CXOs, and technical architects looking to adopt Generative AI technologies to create innovative applications for their organizations and clients. The book is d...Loe edasi...
The book offers an in-depth exploration of federated learning and its transformative impact on the healthcare industry. It begins by introducing the foundational concepts of federated learning, including its methods and applications within various...Loe edasi...
This book is a comprehensive exploration of the dynamic and transformative world of AI and ML. It takes readers on a journey through the foundational principles, diverse algorithms, and real-world applications of these cutting-edge technologies. It...Loe edasi...
This book is a practical, end-to-end guide for engineers and practitioners who want to move beyond prototypes and confidently deploy machine learning and large language model solutions in real-world environments. This book guid...Loe edasi...
Artificial Intelligence (AI) is taking over the world, becoming an essential part of our daily lives. Self-driving cars, medical diagnoses, robotic processes, chatbots, and urban planning are just a few examples of how AI is being used. But what exa...Loe edasi...
This book masters the critical skill of selective data removal from AI systemsessential for regulatory compliance and ethical AI development. This comprehensive book bridges the gap between theoretical foundations and practical implementation, offer...Loe edasi...
With cybercrime costs exceeding 10.5 trillion annually and ransomware attacks predicted every two seconds by 2031, traditional signature-based security has reached critical breaking points. Guide to AI for Cybersecurity provides the essential roadm...Loe edasi...
A practical guide to the use of FPGAs for deep learning and its real-world applications in signal processing In Deep Learning Meets FPGA, a team of distinguished researchers delivers an expert discussion on how to use field...Loe edasi...
The text discusses theoretical background of algorithms and applications of methods using social science problems. It explores different machine-learning approaches to tackle the current issues in the digital world by analyzing social networks. It...Loe edasi...
This is an extensive and comprehensive book, showcasing the applications of machine learning and artificial intelligence in environmental monitoring of the quality of air, soil and water, prediction of environmental risks, optimisation and predict...Loe edasi...
This proceedings volume is a collection of 35 chapters presented at the Second International Conference on Artificial Intelligence, Machine Learning and Intelligent Systems (ICAMS-2025), held at the National Institute of Technology Hamirpur, Himac...Loe edasi...
This book offers a comprehensive collection of 40 research contributions that explore the diverse and growing impact of machine learning across various domains. By aligning its themes with Sustainable Development Goals (SDG9: Industry, Innovation an...Loe edasi...
This book offers a comprehensive guide to optimization techniques in deep learning, a transformative branch of artificial intelligence that has revolutionized fields from computer vision to healthcare. By bridging the gap between theoretical concept...Loe edasi...
The Large Language Model Recipes book is a comprehensive, practical guide designed to help developers, data scientists, and AI engineers navigate the rapidly evolving landscape of Large Language Models (LLMs). Moving beyond theory, this book provide...Loe edasi...
This book systematically presents the application of Human-Centered Explainable Anomaly Detection (HCXAD) in Smart Manufacturing (SM). This book addresses HCXAD as an approach that places the human at the center of technology design, aiming to bridg...Loe edasi...
This book introduces how the rapid advancement of artificial intelligenceAI is transforming the field of materials informatics, viz., AI+ materials. Around the world, self-driving materials laboratories and robotic systemsthe hard foundation of this...Loe edasi...
This book presents the fundamental theories, concepts, and methods of data modeling, bridging physical processes with machine learning predictions. It covers topics such as data collection, storage, analysis, and practical applications of machine le...Loe edasi...
Shape the future of AI by engineering agents that think, act, and thrive autonomously. This book connects Agentic AI innovation with production-grade implementation, equipping developers and engineers with the tools and frameworks to deploy AI agent...Loe edasi...
This book provides a technically rigorous yet accessible guide to Large Language Models (LLMs), charting their evolution from academic research projects into critical infrastructure for industries as diverse as finance, healthcare, and law. It offer...Loe edasi...
This book discusses how artificial intelligence, machine learning, and digital technology are being used to re-engineer the manufacturing industry. With a particular emphasis on small- and medium-sized enterprises (SMEs), this book debunks the myth...Loe edasi...
This book presents a practitioner-oriented treatment of LLMOps: the engineering discipline required to deploy, scale, and govern large language model systems in production. Advanced Large Language Model Operations explains why LLM deployments differ...Loe edasi...
This book serves as an essential guide for both beginners and advanced learners in the field of inventory control and supply chain management. It meticulously presents the fundamental terminologies, models, and theories necessary for understanding a...Loe edasi...
This textbook offers a comprehensive introduction to deep learning and neural networks, integrating core foundations with the latest advances. It begins with essential machine learning concepts an...Loe edasi...
(Ilmumisaeg: 04-Jun-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009702812)
This concise modern introduction to regression covers a wide range of topics and contemporary applications, including high-dimensional regression and causal inference, with concision and clarity. Suitable for advanced undergraduate and beginning gra...Loe edasi...
This book offers a clear and accessible pathway into information geometry for advanced undergraduate and graduate students. Readers will be guided from the fundamentals of topology and differentiable manifolds to the more advanced concepts of probab...Loe edasi...
The use of intelligent technologies to enhance instruction and learning is introduced in pedagogy-based learning-teaching perspective. It covers digital library resources, AI-based tools, data analysis techniques, and NLP and NLU-powered smart ass...Loe edasi...
This textbook provides a comprehensive, step-by-step guide to Semantic Communications, focusing on how deep learning enhances its performance in modern communication systems. The purpose of the book is to offer students, researchers, and engineers a...Loe edasi...
This textbook serves as a companion to A Mathematical Introduction to Data Science. It uses Python programming to provide a comprehensive foundation in the mathematics needed for data science. It is designed for anyone with a basic mathematical...Loe edasi...
(Ilmumisaeg: 01-Jun-2026, Paperback / softback, Kirjastus: Morgan Kaufmann Publishers In, ISBN-13: 9780443444333)
Federated Learning: Foundations and Applications provides a comprehensive guide to the foundations, architectures, systems, security, privacy, and applications of federated learning. Sections cover fundamental concepts, including machine learning, d...Loe edasi...
This book surveys normalization techniques with a deep analysis in training deep neural networks. Normalization methods can improve the training stability, optimization efficiency, and generalization ability of deep neural networks (DNNs) and have b...Loe edasi...
The aim of this book is to provide a comprehensive foundation in the principles of automata theory, formal languages, and computational theory. This book covers essential topics such as finite automata, regular languages, context-free grammars, Turin...Loe edasi...
This book is a comprehensive introduction to the principles and techniques of machine learning. It covers key topics such as supervised and unsupervised learning, neural networks, decision trees, support vector machines, and clustering algorithms. Th...Loe edasi...
If youre ready to unlock the power of immediate insights, this comprehensive primer offers an exploration into the capabilities of Real-Time Intelligence with Microsoft Fabric. Authors Johan Ludvig Brattas and Frank Geisler explain AI-driven insigh...Loe edasi...
