Anna Dawid, Miriam Büttner, Julian Arnold, Borja Requena, Alexander Gresch, Marcin Podzie, Kaelan Donatella, Kim A. Nicoli, Paolo Stornati, Rouven Koch...
Solve machine learning engineering challenges for GenAI applications on AWS and automate the LLMOps workflows using AWS services like Amazon Bedrock and Amazon SageMaker Key Features Learn how to build RAG and agent-based GenAI...Daugiau...
The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and a...Daugiau...
Multivariate Statistics and Machine Learning is a hands-on textbook providing an in-depth guide to multivariate statistics and select machine learning topics using R and Python software.The book offers a theoretical orientation to th...Daugiau...
The primary objective of this book is to provide an in-depth exploration of the latest advancements in data mining and machine learning. It aims to present readers with a comprehensive understanding of cutting-edge techniques that are shaping the fi...Daugiau...
(Išleidimo metai: 30-Sep-2025, Hardback, Leidėjas: Cambridge University Press, ISBN-13: 9781316519509)
Explore how and why machine learning algorithms work with this self-contained, hands-on textbook for senior undergraduate and graduate students. Using Matlab and Python, it includes over 85 worked examples demonstrating how to implement algorithms,...Daugiau...
Open Source MLOPs with DVC and CML is your comprehensive guide to the production of automated machine learning pipelines, enhancing the reproducibility and portability of your models, ensuring that you can get the best results time and time again an...Daugiau...
This book presents a collection of extended papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023) and focuses on deep learning architectures and their applications in domains such as healt...Daugiau...
In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation. Machine learning, a subset of artificial intelligence, equips systems to learn a...Daugiau...
In the 21st century, decision-making processes are increasingly being transferred from humans to machines. Algorithms and prediction capture and shape our choices about how we live and interact with others before we can register their mechanisms o...Daugiau...
Developers working with Oracle Cloud or trying to build ML systems will be able to put their knowledge to work with this practical guide to easily create, train, test, deploy, monitor and optimize ML models. The book provides a hands-on approach to...Daugiau...
Ranjith Rajamanickam, Amit Sharma, Dhivya Ranjith, J. Paulo Davim
Serija: Advanced Mechanical Engineering
(Išleidimo metai: 01-Sep-2025, Hardback, Leidėjas: De Gruyter, ISBN-13: 9783119147828)
Machine Learning for Medical Applications Volume II delves into the intersection of artificial intelligence, computer vision, and healthcare, offering a comprehensive exploration of how machine learning is revolutionizing disease detection and d...Daugiau...
Ranjith Rajamanickam, Amit Sharma, Dhivya Ranjith, J. Paulo Davim
Serija: Advanced Mechanical Engineering
(Išleidimo metai: 01-Sep-2025, Hardback, Leidėjas: De Gruyter, ISBN-13: 9783111503189)
Machine Learning for Medical Applications Volume I provides an in-depth look into the frontier of artificial intelligence in healthcare, bringing together contributions from leading researchers and innovators. This volume focuses on three critic...Daugiau...
Less-supervised Segmentation with CNNs: Scenarios, Models and Optimization reviews recent progress in deep learning for image segmentation under scenarios with limited supervision, with a focus on medical imaging. The book presents main app...Daugiau...
(Išleidimo metai: 28-Aug-2025, Paperback / softback, Leidėjas: Springer-Verlag Berlin and Heidelberg GmbH & Co. K, ISBN-13: 9783662701546)
This professional book is one of the first German-language publications to provide a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science research and practice.In add...Daugiau...
An invaluable companion for anyone who wants a deep understanding of whats under the hood of often inscrutable machines Melanie Mitchell A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoi...Daugiau...
A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligenceMachine learning systems are making life-altering decisions for us: approving mortgage loans, det...Daugiau...
This book presents various machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: biom...Daugiau...
(Išleidimo metai: 14-Aug-2025, Hardback, Leidėjas: Viz Media, Subs. of Shogakukan Inc, ISBN-13: 9781974752959)
The classic science fictionhorror manga from the mind of Kazuo Umezz, creator of The Drifting Classroom, Orochi, and Cat-Eyed Boy!When an industrial robot named Monroe begins to work at his fathers factory, Sator...Daugiau...
Mathematical Foundations for Deep Learning bridges the gap between theoretical mathematics and practical applications in artificial intelligence (AI). This guide delves into the fundamental mathematical concepts that power modern deep lea...Daugiau...
This textbook presents the theoretical foundations of machine learning along with its practical implementation in Python, to help a beginner learn and implement all aspects of the subject. It will be a vital resource for both students and professiona...Daugiau...
Pethuru Raj, Houbing Herbert Song, Dac-Nhuong Le, Narayan Vyas
Serija: Quantum Computing
(Išleidimo metai: 31-Jul-2025, Hardback, Leidėjas: De Gruyter, ISBN-13: 9783111342092)
Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers. This volume focuses on quantum variants of m...Daugiau...
Serija: Proceedings of the International Astronomical Union Symposia and Colloquia
(Išleidimo metai: 31-Jul-2025, Hardback, Leidėjas: Cambridge University Press, ISBN-13: 9781009345194)
IAU S368 addresses graduate students and professional astronomers who wish to leverage machine learning to unlock the potential of modern data-rich surveys and deep images, as well as archival data. Researchers at the frontiers share best practices i...Daugiau...
This book primarily aims to provide an in-depth understanding of recent advances in big data computing technologies, methodologies, and applications along with introductory details of big data computing models such as Apache Hadoop, MapReduce, Hive,...Daugiau...
The development of intelligent transportation systems, especially autonomous underwater vehicles, has become significant in marine engineering, with an aim to enhance energy efficiency management and communication systems. This book covers differe...Daugiau...
This book addresses the growing need for machine learning and data mining in neuroscience. The book is replete with fully working machine learning code. It also contains lab assignments and quizzes, making it appropriate for use as a textbook....Daugiau...
Health Metrics and the Spread of Infectious Diseases: Machine Learning Applications and Spatial Modelling Analysis with R is an introductory guide to health metrics and infectious diseases. It demonstrates how to calculate these metrics to compare t...Daugiau...
The book provides theoretical and practical knowledge about swarm and evolutionary approach, i.e. deep swarm and deep evolution, to generative AI and LLMs. It discusses the cognitive differences and similarities between humans and LLMs and describ...Daugiau...
Deep Learning: From Algorithmic Essence to Industrial Practice introduces the fundamental theories of deep learning, engineering practices, and their deployment and application in the industry. It provides a detailed explanation of classic con...Daugiau...
Enhance your data science skills with this updated edition featuring new chapters on LLMs, temporal graphs, and updated examples with modern frameworks, including PyTorch Geometric, and DGL Key Features Master new graph ML tech...Daugiau...
Discover all-practical implementations of the key algorithms and models for handling unlabelled data. Full of case studies demonstrating how to apply each technique to real-world problems.Models and Algorithms for Unsupervised Learn...Daugiau...
Artificial Intelligence for Academic Libraries provides a clear and dependable guide to the history, theory, and application of artificial intelligence (AI) and machine learning (ML) in academic libraries, addressing the needs of librarians, staff,...Daugiau...
Artificial Intelligence for Academic Libraries provides a clear and dependable guide to the history, theory, and application of artificial intelligence (AI) and machine learning (ML) in academic libraries, addressing the needs of librarians...Daugiau...
Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping presents an overview of the most recent developments in machine learning techniques that have reshaped our understanding of geo-material...Daugiau...
Deep Learning in Practice helps you learn how to develop and optimize a model for your projects using Deep Learning (DL) methods and architectures.Key features:Demonstrates a quick review on Python, NumPy, a...Daugiau...
In recent years, deep learning has shown great potential in transforming various fields, including healthcare. With the abundance of healthcare data being generated every day, there is a pressing need to develop efficient algorithms that can process...Daugiau...
Integrating AI Techniques into the Design and Development of Smart Cyber-Physical Systems: Defense, Biomedical, Infrastructure, and Transportation offers an introductory exploration of the fundamental theories and concepts of Artificial Int...Daugiau...
Machine Learning: Concepts, Techniques and Applications starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations require...Daugiau...
This book focuses on Deep Learning (DL), which is an important aspect of data science, that includes predictive modelling. This book focuses on deep learning (DL), which is an important aspect of data science, that includes predicti...Daugiau...
This book brings together a blend of different areas of machine learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algor...Daugiau...
Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment....Daugiau...
The book focuses on the recent developments in the areas of error reduction, resource optimization, and revenue growth in sustainable manufacturing using machine learning. It presents the integration of smart technologies such as machine learning...Daugiau...
This book focuses on artificial intelligence (AI) and machine learning (ML) technologies and how they are progressively being incorporated into a wide range of products, including consumer gadgets, smart personal assistants, cutting-edge medical...Daugiau...
Federated learning is a Distributed Machine Learning model that has been used in many applications today. Most edge devices can execute models with local dataset since their computation power is unutilized. Mobile, wearable, and se...Daugiau...
The book examines the application of machine learning to enhance resource allocation in IoT networks, with a specific focus on energy efficiency. It discusses various algorithms, including neural networks and reinforcement learning, to optimize re...Daugiau...
