Machine learning algorithms and the art of hyperparameter selection
Machine learning algorithms are used everywhere from a smartphone to a spacecraft. They tell you the weather forecast for tomorrow, translate from one language into another, and suggest what TV series you might like next on Netflix. These algorithms automatically adjust (learn) their internal parameters based on data. However, there is a subset of parameters that is not learned and that have to be configured by an expert. Such parameters are often referred to as “hyperparameters” — and they have a big impact on our lives as the use of AI increases. For example, the tree depth in a decision…
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