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...
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 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...
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 presents a comprehensive, practitioner-focused exploration of how artificial intelligence (AI) is transforming the way modern cloud systems are designed, deployed, and operated. It will offer the readers blueprint for leveraging AI-powered...Loe edasi...
This book collects research presented at the Sixth Meeting for Dissemination and Research in the Study of Complex Systems and their Applications (EDIESCA 2025). EDIESCA arises from the need to foster academic and research groups that can carry out s...Loe edasi...
In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have emerged as transformative tools, yet they face persistent challenges such as hallucination, knowledge obsolescence, and limited reasoning depth. The book...Loe edasi...
The emergence of DeepSeek revealed a profound shift in artificial intelligence. This book uses that moment as a lens to show what happens when efficiency begins to matter more than raw scale, and how that change reshapes business, software, and glob...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...
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 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...
This book provides cutting-edge machine learning (ML) methods, including Physics-Informed Neural Networks (PINNs), Neural Operators, and other ML methods, for solving ordinary differential equations (ODEs), partial differential equations (PDEs), and...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...
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 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...
In a world where AI is rapidly becoming embedded in everyday tools, this book helps you cut through the noise to understand Microsofts growing Copilot ecosystem and confidently choose the right tool for the right task. ...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...
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 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 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...
Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use CasesGenerative Artificial Intelligence is reshaping how we create, learn, and imagine. This book offers a clear and complete journey throu...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...
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 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 offers a concise yet comprehensive exploration of embodied artificial intelligence (AI) and its integration with swarm manipulation, navigation, and tracking tasks. It uniquely bridges the gap in the existing literature by providing a thor...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...
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 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...
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 presents a comprehensive, practitioner-focused exploration of how artificial intelligence (AI) is transforming the way modern cloud systems are designed, deployed, and operated. It will offer the readers blueprint for leveraging AI-powered...Loe edasi...
This book collects research presented at the Sixth Meeting for Dissemination and Research in the Study of Complex Systems and their Applications (EDIESCA 2025). EDIESCA arises from the need to foster academic and research groups that can carry out s...Loe edasi...
In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) have emerged as transformative tools, yet they face persistent challenges such as hallucination, knowledge obsolescence, and limited reasoning depth. The book...Loe edasi...
The emergence of DeepSeek revealed a profound shift in artificial intelligence. This book uses that moment as a lens to show what happens when efficiency begins to matter more than raw scale, and how that change reshapes business, software, and glob...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...
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 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...
This book provides cutting-edge machine learning (ML) methods, including Physics-Informed Neural Networks (PINNs), Neural Operators, and other ML methods, for solving ordinary differential equations (ODEs), partial differential equations (PDEs), and...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...
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 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...
In a world where AI is rapidly becoming embedded in everyday tools, this book helps you cut through the noise to understand Microsofts growing Copilot ecosystem and confidently choose the right tool for the right task. ...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...
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 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 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...
Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use CasesGenerative Artificial Intelligence is reshaping how we create, learn, and imagine. This book offers a clear and complete journey throu...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...
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 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 offers a concise yet comprehensive exploration of embodied artificial intelligence (AI) and its integration with swarm manipulation, navigation, and tracking tasks. It uniquely bridges the gap in the existing literature by providing a thor...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 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...
Machine learning has become a cornerstone of modern data-driven science and technology. For mathematics students and researchers, understanding the mathematical foundations behind machine learning is essential, even if they never work directly with...Loe edasi...
This textbook is a comprehensive, application-driven guide to mastering linear algebra from foundational principles to advanced machine learning applications. Designed for students, researchers, and professionals in AI, data science, and engineering...Loe edasi...
Beginning with a gentle introduction to causal discovery and the foundations of probability and statistics, this textbook is written in a highly pedagogical way. By uniting probability theory, statistical inference, and graph theory, the book offers...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 book presents a novel, alignment-based evaluation framework that tackles a persistent challenge in natural language processing (NLP): how to fairly and accurately evaluate systems when preprocessing steps such as tokenization and sentence bound...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 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...
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...
This book is a collection of selected papers presented at 2025 3rd International Conference on Advanced Unmanned Aerial Systems, held on October 2426, 2025 in Songshan Lake, Guangdong, China. It presents cutting-edge original research within Unmanne...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...
As businesses race to unlock the full potential of large language models (LLMs), a critical challenge has emerged: How do you connect these tools to real-time, external data to solve real-world problems? Retrieval-augmented generation (RAG) is the an...Loe edasi...
This concise introduction to statistical modelling and machine learning focuses on core ideas and a carefully selected set of representative methods. Requiring only introductory calculus, probability and linear algebra, it provides readers with an i...Loe edasi...
(Ilmumisaeg: 31-May-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009630689)
This concise introduction to statistical modelling and machine learning focuses on core ideas and a carefully selected set of representative methods. Requiring only introductory calculus, probability and linear algebra, it provides readers with an i...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...
The book explores the ways artificial intelligence (AI) theory is being applied to an extremely diverse range of industries, illustrating just how robust and adaptable this technology has become. AI is revolutionizing the way the world operates by a...Loe edasi...
This book provides a focused, research-forward guide to making large AI models efficient in practice and also presents an array of novel techniques to reduce memory footprint, accelerate computation, and improve overall hardware utilization. The aut...Loe edasi...
This book offers a comprehensive exploration of federated learning (FL), a novel approach to decentralized, privacy-preserving machine learning. This book delves into the resilience and security challenges inherent to FL, such as model poisoning and...Loe edasi...
Ömer Faruk Erturul, Tahir Çetin Akinci, Musa Yilmaz
(Ilmumisaeg: 29-May-2026, Paperback / softback, Kirjastus: Morgan Kaufmann Publishers In, ISBN-13: 9780443441639)
Understanding Models Developed by AI: Including Applications with Python and MATLAB Code is a comprehensive guide for readers looking to understand the intricacies of AI models and their real-world applications. This book demystifies complex A...Loe edasi...
