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Machine learning is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs that can change when exposed to new data. The process of machine learning is similar to that of data mining. Both systems search through data to look for patterns. However, instead of extracting data for human comprehension -- as is the case in data mining applications -- machine learning uses that data to detect patterns in data and adjust program actions accordingly.
Sparse machine learning refers to a collection of methods to learning that seek a trade-o be-. tween some goodness-of- t measure and sparsity of the result, the latter property allowing better. interpretability. In a sparse learning classi cation task for example, the prediction accuracy or some. other classical measure of performance is not the sole concern: we also wish to be able to explain. what the classi er means to a non-expert. Thus, if the classi cation task involves say gene data,