Anna Dawid, Miriam Büttner, Julian Arnold, Borja Requena, Alexander Gresch, Marcin Podzie, Kaelan Donatella, Kim A. Nicoli, Paolo Stornati, Rouven Koch...
(Ilmumisaeg: 23-Oct-2025, Hardback, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9781119685241)
The complete and practical guide to one of the hottest topics in quantitative finance Deep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts. Deep Learning in Quantitative...Loe edasi...
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...Loe edasi...
Ranjith Rajamanickam, Amit Sharma, Dhivya Ranjith, J. Paulo Davim
Sari: Advanced Mechanical Engineering
(Ilmumisaeg: 01-Sep-2025, Hardback, Kirjastus: 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...Loe edasi...
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...Loe edasi...
(Ilmumisaeg: 28-Aug-2025, Paperback / softback, Kirjastus: 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...Loe edasi...
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...Loe edasi...
Sari: Proceedings of the International Astronomical Union Symposia and Colloquia
(Ilmumisaeg: 31-Jul-2025, Hardback, Kirjastus: 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...Loe edasi...
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...Loe edasi...
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....Loe edasi...
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...Loe edasi...
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...Loe edasi...
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...Loe edasi...
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...Loe edasi...
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...Loe edasi...
This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling pro...Loe edasi...
Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. The book delves into various use cases where deep learning is a...Loe edasi...
