Machine learning is the sub field of computer science that, gives “computers the ability to learn without being explicitly programmed.”
Machine Learning is the science of getting computers to learn and act like humans without explicitly programming them.
Machine learning is the subfield of computer science that “gives computers the ability to learn without being explicitly programmed” (Arthur Samuel, 1959).
Machine Learning is a form of artificial intelligence (AI) in which a computer system has the ability to continually process and incorporate new data and thus fine tune new data's output over time.
Machine Learning (ML), a branch of Artificial Intelligence (AI), is a disruptive force that is changing how today's industries are gaining new insight from their data.
Machine Learning (ML) is a new field, and there is a competitive advantage to those first adopters.
Machine learning is part of Data Mining, and therefore some algorithmic “families” are presented in both diagrams.
Machine learning is predominately a challenge of data abstraction – this is the shaping and molding of data – and presenting data to advanced machine learning algorithms on a commodity basis.
Machine learning is an approach to artificial intelligence that focuses on developing programs that can grow and change when exposed to new data.
Machine learning (ML) is a form of artificial intelligence (AI) that uses algorithms to teach computer systems.