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Transfer learning for machine learning is when elements of a pre-trained model are reused in a new machine learning model. If the two models are developed to perform similar tasks, then generalized knowledge can be shared between them. This approach to machine learning development reduces the resources and amount of labelled data required to train […]

The four types of machine learning algorithms that we aim to explain are behind a range of technologies, whether providing predictive analytics to businesses or powering the decision-making of driverless cars. There are distinct approaches to machine learning which change how these systems learn from data. In general, there are four main types of machine