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Hands-On Machine Learning with R

You will learn how to build and tune these various models with R packages that have been tested and approved due to their ability to scale well. However, our motivation in almost every case is to describe the techniques in a way that helps develop intuition for its strengths and weaknesses. For the most part, we minimize mathematical complexity when possible but also provide resources to get deeper into the details if desired.



By Bradley Boehmke

Career Relevance by Data Role

The techniques and tools covered in Hands-On Machine Learning with R are most similar to the requirements found in Data Scientist job advertisements.


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Tools
R RStudio

Techniques
Machine Learning

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