Artificial intelligence (AI), machine learning, and deep learning are all terms often used interchangeably, despite their differences. You can think of deep learning, machine learning, and AI as a set of Russian dolls nested within each other, beginning with the smallest and working out. Deep learning is a subset of machine learning, and machine learning is a subset of AI, which is an umbrella term for any computer program that does something smart. In other words, all machine learning is AI, but not all AI is machine learning, and so forth. Computer Business Review brought this interesting topic to our attention in their article, “What is Machine and Artificial Intelligence Deep Learning?”
Where machine learning algorithms work well on datasets that have up to a few hundred columns, unstructured datasets, like images or videos, have such a volume of features that traditional methods of training them are unfeasible. This is where deep learning proves it value.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
