Machine learning is a program that, given a task (loss function), learns through experience (training data). With experience, that program learns to perform the given task to a desirable standard. During the 1960s, machine learning was majorly focused on creating different forms of data preprocessing filters. With the introduction of image filters, the focus then shifted toward computer vision, and major research work was undertaken in this domain during the 1990s and 2000s. After some stability in terms of traditional machine learning algorithms being developed, researchers moved to the probabilistic domain, as it became more promising with the introduction of high-dimensional data. Deep learning bloomed when it won the ImageNet Challenge in 2012, and has since taken on an important role in the field of data science.
Machine learning...
