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Exploring Machine learning with R and mlr

With chapters selected by Hefin I. Rhys

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Exploring Machine learning with R and mlr features three chapters from Machine learning with R, tidyverse, and mlr by author and veteran research scientist Hefin I. Rhys. In the first chapter, you’ll get familiar with common machine learning terminology and different types of machine learning. Next, you’ll gain a solid foundation in the mlr package, R’s machine learning answer to Python’s scikit-learn. You’ll also drill down into more advanced machine learning theory while learning your first algorithm: k-nearest neighbors. In the final chapter, you’ll explore some of the most commonly used ML techniques including decision trees and ensembling, which can drastically improve the performance of an algorithm. This short but substantial guide is a great way to jumpstart your machine learning education.

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