Applied Machine Learning Using mlr3 in R

Author:   Bernd Bischl ,  Raphael Sonabend ,  Lars Kotthoff ,  Michel Lang
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032515670


Pages:   340
Publication Date:   18 January 2024
Format:   Hardback
Availability:   In Print   Availability explained
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Applied Machine Learning Using mlr3 in R


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Author:   Bernd Bischl ,  Raphael Sonabend ,  Lars Kotthoff ,  Michel Lang
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.920kg
ISBN:  

9781032515670


ISBN 10:   1032515678
Pages:   340
Publication Date:   18 January 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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.

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