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(This article was first published on <strong><a href="https://mlr-org.github.io/mlr-training-courses/"> mlr-org</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>The <a rel="nofollow" href="http://www.jmlr.org/papers/v17/15-066.html" target="_blank"><code>mlr</code>: Machine Learning in R</a> package provides a generic, object-oriented and extensible framework for classification, regression, survival analysis and clustering for the statistical programming language R.<br>
The package targets practitioners who want to quickly apply machine learning algorithms, as well as researchers who want to implement, benchmark, and compare their new methods in a structured environment.</p>
<p>We are happy to announce that we now offer training courses specialized on <code>mlr</code>:</p>
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<p>The <a rel="nofollow" href="http://www.muenchner-r-kurse.de/einfuehrung-maschinelles-lernen/" target="_blank">Munich R Courses</a> already offer the three-day course “Machine Learning and Data Mining in R”. <span></span><br>
The course includes a basic introduction to theoretical concepts of machine learning and especially focuses on the <a rel="nofollow" href="https://github.com/mlr-org/mlr" target="_blank"><code>mlr</code> package</a>.<br>
The next course starts on May 2nd, 2018 and will be held in German (see <a rel="nofollow" href="http://www.muenchner-r-kurse.de/kurs/machine-learning/" target="_blank">here</a>).</p>
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<p>The <a rel="nofollow" href="http://www.datascience-certificate.de/" target="_blank">Professional Certificate Program “Data Science”</a> also includes a short introduction to the <code>mlr</code> package. It is a brand new extra-occupational 10-day training at the University of Munich (LMU).<br>
The certificate program starts in May 2018 and the application deadline is March 15th, 2018.</p>
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<p>You can request an inhouse R course in English or German via our <a rel="nofollow" href="http://www.muenchner-r-kurse.de/inhouse-schulungen/" target="_blank">contact form.</a></p>
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<p>If you offer R or Data Science courses and want to include a course on <a rel="nofollow" href="http://www.jmlr.org/papers/v17/15-066.html" target="_blank"><code>mlr</code>: Machine Learning in R</a> into your course program, feel free to contact us at <a rel="nofollow" href="https://mlr-org.github.io/mlr-training-courses/rkurse@stat.uni-muenchen.de" target="_blank">rkurse@stat.uni-muenchen.de</a>.</p>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="https://mlr-org.github.io/mlr-training-courses/"> mlr-org</a></strong>.</div>
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