Adaptive experiments Machine learning can help scientific discovery

Abstract

Machine learning relies on mathematics, data, and algorithms to identify patterns in natural phenomena. In other words, computers gradually improve their accuracy without being explicitly instructed how to do so. Machine learning is a subset of artificial intelligence which can be defined as the ability of a computer program to learn from experience with respect to a specific kind of data and a performance measure. The conventional learning process begins by feeding input data to the algorithm, which extracts features and classifies them by providing a predicted output. We refer to the conventional machine Adaptive experiments Machine learning can help scientific discovery