Machine Learning is a subfield within Artificial Intelligence that builds algorithms that allow computers to learn to perform tasks from data instead of being explicitly programmed.

In order for an algorithm to learn to transform an input to a desired output, training samples are necessary. A training set is a set of instances serve examples from which the Machine Learning algorithm will learn to perform the desired task. 

If you are more interested in this, we strongly recommend reading our Gentle Guide to Machine Learning blog post.

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