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...
In todays race to harness generative AI, many teams struggle to integrate these advanced tools into their business systems. While platforms like GPT-4 and Googles Gemini are powerful, they arent always tailored to specific business needs. This...Loe edasi...
This book gives a modern introduction to algorithmic game theory (AGT) with a focus on its increasingly prevalent usage of online learning, setting the book apart from classic texts. This book covers many modern application highlights of the field,...Loe edasi...
(Ilmumisaeg: 30-Jun-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009711296)
This book gives a modern introduction to algorithmic game theory (AGT) with a focus on its increasingly prevalent usage of online learning, setting the book apart from classic texts. This book covers many modern application highlights of the field,...Loe edasi...
Authors Ofer Mendelevitch and Forrest Bao guide you through every phase of development, from data ingestion, embeddings, and vector search to advanced techniques like agentic RAG, multimodal RAG, and GraphRAG. This book simplifies the process, offer...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 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...
Machine learning and other digital technologies fed with large datasets offer a major set of tools for practical geotechnical design. Large language models and other generative AIs can perform cognitive tasks currently undertaken by humans -- and...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...
Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that teaches agents to learn optimal behavior through interaction, feedback, and long-term goals....Loe edasi...
Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that teaches agents to learn optimal behavior through interaction, feedback, and long-term goals. Reinforcement Learning (RL) is a branch of Artificial Intellig...Loe edasi...
What does it take to move from recognizing static objects in images to truly understanding dynamic human behavior in complex scenes? This book provides the answer by introducing a groundbreaking framework that fuses image engineering with spatiotemp...Loe edasi...
This is a comprehensive book that explores how explainable artificial intelligence (XAI), particularly large language models (LLMs), is transforming healthcare. The book covers foundational concepts of XAI, emphasizing the need for transparency, acc...Loe edasi...
Paul Alexander Bilokon, Antoine Jacquier, Ewan Mackie, Aitor Muguruza
(Ilmumisaeg: 28-Jun-2026, Hardback, Kirjastus: World Scientific Publishing Co Pte Ltd, ISBN-13: 9789811215728)
Written by a data scientist with decades of practical experience on some of the most challenging datasets, this book caters to both novices and professionals working in the fields of data science and machine learning. It enables novices to enter t...Loe edasi...
Online search engines are an essential tool for seeking information, but results returned from these search engines can contain undesirable forms of bias with respect to protected attributes such as gender or race. These biases can exist due to the...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 is a hands-on guide designed to help readers understand, build, and deploy powerful AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and intelligent chatbots. ...Loe edasi...
This book details how machine learning (ML) can be used in network management. Geared towards an upper undergraduate or graduate level class in machine learning or computer networks, the author showcases the intersection between ML/artificial intell...Loe edasi...
(Ilmumisaeg: 25-Jun-2026, Hardback, Kirjastus: World Scientific Publishing Co Pte Ltd, ISBN-13: 9789819826247)
Of Another Mind is an extensively researched book arguing that to live collaboratively with superintelligent AI will require the renegotiation of the human social contract. The book details the significant research supporting AI model capabilities p...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 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 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...
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 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 book presents a concise yet comprehensive overview of phytoecdysteroidsplant-derived steroidal compounds with remarkable biological and therapeutic potential. A previously published volume, Phytoecdysteroids: Properties, Biological Activity and...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...
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 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...
High-resolution magnetic resonance imaging (MRI) is clinically vital but inherently slow. Accelerating acquisition via undersampling introduces artefacts, whereas long scans risk motion blur; traditional solutions, such as compressed sensing, often...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...
In todays race to harness generative AI, many teams struggle to integrate these advanced tools into their business systems. While platforms like GPT-4 and Googles Gemini are powerful, they arent always tailored to specific business needs. This...Loe edasi...
This book gives a modern introduction to algorithmic game theory (AGT) with a focus on its increasingly prevalent usage of online learning, setting the book apart from classic texts. This book covers many modern application highlights of the field,...Loe edasi...
(Ilmumisaeg: 30-Jun-2026, Hardback, Kirjastus: Cambridge University Press, ISBN-13: 9781009711296)
This book gives a modern introduction to algorithmic game theory (AGT) with a focus on its increasingly prevalent usage of online learning, setting the book apart from classic texts. This book covers many modern application highlights of the field,...Loe edasi...
Authors Ofer Mendelevitch and Forrest Bao guide you through every phase of development, from data ingestion, embeddings, and vector search to advanced techniques like agentic RAG, multimodal RAG, and GraphRAG. This book simplifies the process, offer...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 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...
Machine learning and other digital technologies fed with large datasets offer a major set of tools for practical geotechnical design. Large language models and other generative AIs can perform cognitive tasks currently undertaken by humans -- and...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...
Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that teaches agents to learn optimal behavior through interaction, feedback, and long-term goals....Loe edasi...
Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that teaches agents to learn optimal behavior through interaction, feedback, and long-term goals. Reinforcement Learning (RL) is a branch of Artificial Intellig...Loe edasi...
What does it take to move from recognizing static objects in images to truly understanding dynamic human behavior in complex scenes? This book provides the answer by introducing a groundbreaking framework that fuses image engineering with spatiotemp...Loe edasi...
This is a comprehensive book that explores how explainable artificial intelligence (XAI), particularly large language models (LLMs), is transforming healthcare. The book covers foundational concepts of XAI, emphasizing the need for transparency, acc...Loe edasi...
Paul Alexander Bilokon, Antoine Jacquier, Ewan Mackie, Aitor Muguruza
(Ilmumisaeg: 28-Jun-2026, Hardback, Kirjastus: World Scientific Publishing Co Pte Ltd, ISBN-13: 9789811215728)
Written by a data scientist with decades of practical experience on some of the most challenging datasets, this book caters to both novices and professionals working in the fields of data science and machine learning. It enables novices to enter t...Loe edasi...
Online search engines are an essential tool for seeking information, but results returned from these search engines can contain undesirable forms of bias with respect to protected attributes such as gender or race. These biases can exist due to the...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 is a hands-on guide designed to help readers understand, build, and deploy powerful AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and intelligent chatbots. ...Loe edasi...
This book details how machine learning (ML) can be used in network management. Geared towards an upper undergraduate or graduate level class in machine learning or computer networks, the author showcases the intersection between ML/artificial intell...Loe edasi...
The book contains the most common as well as state-of-the-art methods in machine learning for time-series to take your understanding of time series to a new level. In addition to these comprehensive explanations, there are plenty of real-life exampl...Loe edasi...
(Ilmumisaeg: 25-Jun-2026, Hardback, Kirjastus: World Scientific Publishing Co Pte Ltd, ISBN-13: 9789819826247)
Of Another Mind is an extensively researched book arguing that to live collaboratively with superintelligent AI will require the renegotiation of the human social contract. The book details the significant research supporting AI model capabilities p...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 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 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...
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 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 book presents a concise yet comprehensive overview of phytoecdysteroidsplant-derived steroidal compounds with remarkable biological and therapeutic potential. A previously published volume, Phytoecdysteroids: Properties, Biological Activity and...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...
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 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...
High-resolution magnetic resonance imaging (MRI) is clinically vital but inherently slow. Accelerating acquisition via undersampling introduces artefacts, whereas long scans risk motion blur; traditional solutions, such as compressed sensing, often...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...
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...
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...
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 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 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 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...
Unlock the full potential of the Databricks Data Intelligence Platform in this fully updated second editionyour definitive guide to building enterprise-ready Generative AI (GenAI) solutions, managing complex data workflows, and deploying intelligent...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...
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...
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...
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 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...
