© Thomas Mailund 2022
T. MailundBeginning Data Science in R 4https://doi.org/10.1007/978-1-4842-8155-0_6

6. Supervised Learning

Thomas Mailund1  
(1)
Aarhus, Denmark
 

This chapter and the next concern the mathematical modelling of data that is the essential core of data science. We can call this statistics, or we can call it machine learning. At its heart, it is the same thing. It is all about extracting information out of data.

Machine Learning

Machine learning is the discipline of developing and applying models and algorithms for learning from data. Traditional algorithms implement fixed rules for solving particular problems like sorting numbers or finding the shortest route between two cities. To develop algorithms like that, you need a deep understanding ...

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