Mastering Machine Learning Algorithms - Second Edition

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Machine Learning Model Fundamentals

Machine learning models are mathematical tools that allow us to uncover synthetic representations of external events, with the purpose of gaining better understanding and predicting future behavior. Sometimes these models have only been defined from a theoretical viewpoint, but advances in research now allow us to apply machine learning concepts to better understand the behavior of complex systems such as deep neural networks. In this chapter, we're going to introduce and discuss some fundamental elements. Skilled readers may already know these elements, but here we offer several possible interpretations and applications.

In particular, in this chapter, we're discussing the main elements of:

• Defining models ...