Publications by r-bloggers on Machine Learning in R
mlr wins Open Source Machine Learning Software Award
mlr receives Open Source Machine Learning Project Award mlr receives Open Source Machine Learning Project Award We’re extremely proud to have received the Open Source Machine Learning Project Award at ODSC West 2019. We were joined by Tensorflow, DataKind, and SHAP, which also received awards. The ODSC awards recognize projects that have made...
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mlr3 tutorial on useR!2020muc
mlr3 tutorial at the useR!2020 European hub About the useR!2020 satellite event in Munich mlr3 tutorial at the useR!2020 European hub We are thrilled that we got accepted for a tutorial at the useR!2020 satellite event in Munich on July 7th. Bernd Bischl and Michel Lang will give an introduction to mlr3, the successor of the mlr package for mach...
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mlr3 tutorial on useR!2020muc
mlr3 tutorial at the useR!2020 European hub About the useR!2020 satellite event in Munich mlr3 tutorial at the useR!2020 European hub We are thrilled that we got accepted for a tutorial at the useR!2020 satellite event in Munich on July 7th. Bernd Bischl and Michel Lang will give an introduction to mlr3, the successor of the mlr package for mach...
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Explainable machine learning with mlr3 and DALEX
Przemysław Biecek and Szymon Maksymiuk added a new chapter to the mlr3 book on how to analyze machine learning models fitted with mlr3 using the excellent DALEX package. The contributed chapter covers an analysis of a random regression forest (implemented in the ranger package) on data extracted from the FIFA video game. In more detail, the follo...
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Explainable machine learning with mlr3 and DALEX
Przemysław Biecek and Szymon Maksymiuk added a new chapter to the mlr3 book on how to analyze machine learning models fitted with mlr3 using the excellent DALEX package. The contributed chapter covers an analysis of a random regression forest (implemented in the ranger package) on data extracted from the FIFA video game. In more detail, the foll...
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Explainable machine learning with mlr3 and DALEX
Przemysław Biecek and Szymon Maksymiuk added a new chapter to the mlr3 book on how to analyze machine learning models fitted with mlr3 using the excellent DALEX package. The contributed chapter covers an analysis of a random regression forest (implemented in the ranger package) on data extracted from the FIFA video game. In more detail, the foll...
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Webinar on mlr3pipelines
We are happy to be invited to the WhyR Webinar Series to present you with some insights into mlr3pipelines. The authors of mlr3pipelines, Bernd Bischl, Martin Binder and Florian Pfisterer will give you a detailed overview of the vast capabilities of mlr3pipelines, which includes basic data preprocessing operations (like PCA, filtering etc.) but al...
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Webinar on mlr3pipelines
We are happy to be invited to the WhyR Webinar Series to present you with some insights into mlr3pipelines. The authors of mlr3pipelines, Bernd Bischl, Martin Binder and Florian Pfisterer will give you a detailed overview of the vast capabilities of mlr3pipelines, which includes basic data preprocessing operations (like PCA, filtering etc.) but a...
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Webinar on mlr3pipelines
We are happy to be invited to the WhyR Webinar Series to present you with some insights into mlr3pipelines. The authors of mlr3pipelines, Bernd Bischl, Martin Binder and Florian Pfisterer will give you a detailed overview of the vast capabilities of mlr3pipelines, which includes basic data preprocessing operations (like PCA, filtering etc.) but a...
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Introducing mlr3cluster: Cluster Analysis Package
Tired of learning to use multiple packages to access clustering algorithms? Using different packages makes it difficult to compare the performance of clusterers? It would be great to have just one package that makes interfacing all things clustering easy? mlr3cluster to the rescue! mlr3cluster is a cluster analysis extention package within the ml...
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