説明
This comprehensive collection of papers showcases the latest advancements in machine learning and knowledge discovery, presented at the European Conference in Dublin. Gathered within these volumes are critical insights from leading researchers and practitioners, reflecting the innovative approaches and methodologies that are shaping the future of this rapidly evolving field.
Attendees and contributors alike engaged in enlightening discussions that highlighted real-world applications and theoretical progressions in machine learning. The diverse range of topics emphasizes the collaborative spirit of the conference and its commitment to fostering a deeper understanding of data-driven decision-making processes.
Attendees and contributors alike engaged in enlightening discussions that highlighted real-world applications and theoretical progressions in machine learning. The diverse range of topics emphasizes the collaborative spirit of the conference and its commitment to fostering a deeper understanding of data-driven decision-making processes.
本の詳細
形式
ペーパーバック
ページ数
737ページ
言語
英語
公開されました
Jan 18, 2019
出版社
Springer
ISBN-10
3030109968
ISBN-13
9783030109967