Читать книгу AI-Enabled Analytics for Business - Lawrence S. Maisel - Страница 10

We see the widely used phrase “AI and ML” and conjure these as linked at the hip; but while related, they are not one and the same. First, AI is a superset, covering all that is considered artificial intelligence. The overarching concept of AI is simply a machine that can make a human decision. Any mode of achieving this human decision by a machine is thus AI, and machine learning is one such mode or subset of AI. Therefore, all ML is AI, but not all AI is ML.

Accordingly, ML is one form of AI. ML is a widely used method for implementing AI, and there are many tools, languages, and techniques available. ML engages algorithms (mathematical models) that computers use to perform a specific task without explicit instructions, often relying on patterns and inference, instead.

Another popular form of AI is neural networks that are highly advanced and based on mirroring the synapse structure of the brain. So, ML and neural networks are both subsets of AI, as depicted in Figure 1.1, as well as other forms of AI (that is, any other technology/technique that enables a machine to make a human decision).³

Figure 1.1 Superset and subsets of AI.