At a high level, machine learning is the technique of training a computer system how to make authentic predictions when data is feeded. These predictions could be applied to predict whether a piece of fruit in a photo looks like a banana or an apple, whether an email is a spam, or recognizing speech precisely enough to generate captions for a YouTube video.
In scientific terms, machine learning is the study of computer algorithms that improve automatically through experience. It is seen as a sub-part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide range of applications, such as email filtering and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.
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