Buch
Model Selection and Error Estimation in a Nutshell
Luca Oneto
106,99
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | Modeling and Optimization in Science and Technologies (Bd. 15) |
Sprache | : | Englisch |
Erschienen | : | 25. 07. 2019 |
Seiten | : | 125 |
Einband | : | Gebunden |
Höhe | : | 235 mm |
Breite | : | 155 mm |
ISBN | : | 9783030243586 |
Sprache | : | Englisch |
Autorinformation
Luca Oneto was born in Rapallo, Italy in 1986. He received his BSc and MSc in Electronic Engineering at the University of Genoa, Italy respectively in 2008 and 2010. In 2014 he received his PhD from the same university in the School of Sciences and Technologies for Knowledge and Information Retrieval with the thesis ``Learning Based On Empirical Data''. In 2017 he obtained the Italian National Scientific Qualification for the role of Associate Professor in Computer Engineering and in 2018 he obtained the one in Computer Science. He worked as Assistant Professor in Computer Engineering at University of Genoa from 2016 to 2019. In 2018 he was co-founder of the spin-off ZenaByte s.r.l. He is currently Associate Professor in Computer Science at University of Pisa with particular interests in Statistical Learning Theory and Data Science. Besides being an editorial board member of the book series Modeling and Optimization in Science and Technologies he is also co-author of the textbook Introduction to Digital Systems Design (Donzellini et al., Springer, 2019). 
Inhaltsverzeichnis
Introduction.- The “Five W” of MS & EE.- Preliminaries.- Resampling Methods.- Complexity-Based Methods.- Compression Bound.- Algorithmic Stability Theory.- PAC-Bayes Theory.- Differential Privacy Theory.- Conclusions & Further Readings.