👉 A parallelizer is a type of machine learning algorithm that is used to reduce the dimensionality of data by performing a hierarchical reduction process. In other words, it involves transforming the input data into smaller and smaller feature sets until only a few features remain. This approach can be useful for reducing the computational complexity of a model by eliminating redundant information in the dataset.
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