(Ilmumisaeg: 26-Apr-2023, PDF+DRM, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031199349)
This third edition expands on the original material. Large portions of the text have been reviewed and clarified. More emphasis is devoted to machine learning including more modern concepts and examples. This book provides the reader with the main co...Loe edasi...
This open access book offers a concise overview of how data from large scale experiments are analyzed and how technological tools are used in practice, as in the search for new elementary particles. It focuses on interconnects between physics and det...Loe edasi...
This open access book offers a concise overview of how data from large scale experiments are analyzed and how technological tools are used in practice, as in the search for new elementary particles. It focuses on interconnects between physics and det...Loe edasi...
(Ilmumisaeg: 24-Jul-2015, PDF+DRM, Kirjastus: Springer International Publishing AG, ISBN-13: 9783319201764)
This concise set of course-based notes provides the reader with the main concepts and tools to perform statistical analysis of experimental data, in particular in the field of high-energy physics (HEP). First, an introduction to probability theory an...Loe edasi...
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its covera...Loe edasi...
Modern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its covera...Loe edasi...
