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Five machine learning types to know

IBM Journey to AI blog

For instance, if data scientists were building a model for tornado forecasting, the input variables might include date, location, temperature, wind flow patterns and more, and the output would be the actual tornado activity recorded for those days. Naïve Bayes classifiers —enable classification tasks for large datasets.

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How to Use Machine Learning (ML) for Time Series Forecasting?—?NIX United

Mlearning.ai

For instance, science data that requires an indefinite number of analytical iterations can be processed much faster with the help of patterns automated by machine learning. This means that it is best used for elaborating data classifications in conjunction with other efficient algorithms.