Описание
This book captures the latest advancements in machine learning and knowledge discovery as presented at the European Conference, ECML PKDD 2023. With contributions from a diverse group of experts, it serves as a vital resource for researchers and practitioners alike, keen to explore innovative methodologies and applications within the field.
The proceedings highlight cutting-edge research that pushes the boundaries of what is possible with data analytics. Readers will find a rich collection of studies that examine various aspects of machine learning, not only in theory but also in practice, showcasing real-world implementations that emphasize the importance of these techniques.
Danai Koutra and colleagues bring their extensive expertise to the forefront, ensuring that the collection remains at the leading edge of knowledge discovery. This collaborative work is an essential read for anyone looking to deepen their understanding and stay informed about current trends and future directions in machine learning.
The proceedings highlight cutting-edge research that pushes the boundaries of what is possible with data analytics. Readers will find a rich collection of studies that examine various aspects of machine learning, not only in theory but also in practice, showcasing real-world implementations that emphasize the importance of these techniques.
Danai Koutra and colleagues bring their extensive expertise to the forefront, ensuring that the collection remains at the leading edge of knowledge discovery. This collaborative work is an essential read for anyone looking to deepen their understanding and stay informed about current trends and future directions in machine learning.
Детали книги
Формат
Мягкая обложка
Страницы
773 страниц
Язык
Английский
Опубликовано
сен 17, 2023
Издатель
Springer
ISBN-10
3031434145
ISBN-13
9783031434143