Applied Machine Learning Using Mlr3 in R - Couverture rigide

 
9781032515670: Applied Machine Learning Using Mlr3 in R
Couverture rigide
ISBN 10 : 1032515678 ISBN 13 : 9781032515670
Editeur : Chapman & Hall/CRC, 2024

Synopsis

mlr3 is an award-winning ecosystem of R packages that have been developed to enable state-of-the-art machine learning capabilities in R. This book gives an overview of flexible and robust machine learning methods, with an emphasis on how to implement them using mlr3 in R.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Bernd Bischl is a professor of Statistical Learning and Data Science in LMU Munich and co-director of the Munich Center for Machine Learning. He studied Computer Science, Artificial Intelligence and Data Science and holds a PhD in statistics. His research interests include AutoML, model selection, interpretable ML and the development of statistical software. He wrote the initial version of mlr and still leads the mlr3 developers, now largely focusing on design, code review and strategic development.

Raphael Sonabend is a founder and director of OSPO Now and a visiting researcher at Imperial College London. They hold a PhD in statistics, specializing in machine learning applications for survival analysis. They wrote the mlr3 packages mlr3proba and mlr3benchmark.

Lars Kotthoff is an associate professor of Computer Science at the University of Wyoming, US. He has studied and held academic appointments in Germany, UK, Ireland, and Canada. Lars has been contributing to mlr for about a decade. His research aims to automate machine learning and other areas of AI.

Michel Lang is the scientific coordinator of the Research Center Trustworthy Data Science and Security. He has a PhD in statistics and has been developing statistical software for over a decade. He joined the mlr team in 2014 and wrote the initial version of mlr3.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Chapman & Hall/CRC
Date d'édition
2024
Langue
anglais
ISBN 10 
1032515678
ISBN 13 
9781032515670
Reliure
Relié
Nombre de pages
340
Éditeur
Bischl Bernd, Sonabend Raphael, Kotthoff Lars, Lang Michel
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9781032507545: Applied Machine Learning Using mlr3 in R

Edition présentée

ISBN 10 :  1032507543 ISBN 13 :  9781032507545
Editeur : Chapman and Hall/CRC, 2024
Couverture souple