DL is a subset of ML that can solve particularly hard and large-scale problems in areas such as Natural Language Processing (NLP) and image classification. The expression DL is sometimes used in an interchangeable way with ML and AI, but both ML and DL are subsets of AI. AI is the broader concept that is implemented through ML. DL is a way of implementing ML, and involves neural network-based algorithms:
AI is considered the ability of a machine (it could be any computer-controlled device or robot) to perform tasks that are typically associated with humans. It was introduced in the 1950s, with the goal of reducing human interaction, thereby making the machine do all the work. This concept is mainly applied to the development of systems that typically require human intellectual processes and/or the ability to learn from past experiences.
ML is an approach...
