When we think about the future of AI, we could picture highly sophisticated robots that can imitate humans so effectively that they are indistinguishable from people. True, artificial intelligence’s capacity to swiftly learn, process, and evaluate data in order to make choices is a significant attribute.
However, what most of us think of as AI is actually a subdiscipline known as machine learning. Artificial intelligence has become a blanket phrase encompassing a variety of algorithmic areas in mathematics and computer science. There are a few crucial distinctions between them that must be understood in order to optimize their growth potential.