ABSTRACT
This chapter provides a brief survey of machine learning (ML) basics and introduce its core ideas, algorithms, and applications in diverse fields as a background information for understanding its application in atomic layer deposition and thin film deposition. There is an upsurge in the adoption of AI, ML, and deep learning (DL) in contemporary times by different businesses and sectors to construct intelligent devices and products, making them the most talked-about technologies in business. Although these terminologies dominate business conversations worldwide, many people have trouble distinguishing them. ML creates a set of rules automatically using answers and data, as opposed to symbolic AI, which uses rules and data to make responses. In order to facilitate a response or action, these rules can then be applied to fresh, unobserved data. The common distinguishing features of the DL from the traditional ML are the kind of data it uses and the ways in which it learns.
