Space–Time Computational Flow Analysis (STCFA) was developed in 1990 in the context of flows with moving boundaries and interfaces, which is a wide class of problems that includes fluid–particle int……続きを見る
Von der antiken Mythologie bis Star Trek: Schon seit Jahrhunderten imaginieren Menschen, wie wir in der Zukunft leben und wie intelligente Maschinen eines Tages unseren Alltag prägen werden. Die eno……続きを見る
Running software isn't all about code, some buttons, and some user interaction. There is much more to it. One of the key elements is data. Data is always data; information a user can see and manage.……続きを見る
This book introduces readers to the minimum description length (MDL) principle and its applications in learning. The MDL is a fundamental principle for inductive inference, which is used in many app……続きを見る
Erfolgreiche ML-Pipelines entwickeln und mit MLOps organisatorische Herausforderungen meistern
Stellt DevOps-Konzepte vor, die die speziellen Anforderungen von ML-Anwendungen berücksichtigen
Umfass……続きを見る
Students preparing to work with mechatronics, particularly with highly precise and smart actuators, face the challenge of designing and analyzing devices without formal and practical guidance in com……続きを見る
More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical……続きを見る