4 ms·
AI and ML have different goals, which sometimes overlap. The goal of ML is to discover relationships in data that can only be (easily) observed by a machine. Th
by dvogel 8y ago
AI and ML have different goals, which sometimes overlap. The goal of ML is to discover relationships in data that can only be (easily) observed by a machine. That usually serves as decision support data for a human decision maker or another more conventional algorithm. This is usually based on an entire data set at once. Accuracy and precision are valued over quickness and robustness.
AI is about substituting human decision makers or other conventional computer decision algorithms. AI is used for situational decision making. It needs to be quick (like the conventional algorithms) while also recognizing the nuance and multi-dimemaional nature of a lot of decisions. Robustness and quickness are often valued more than precision.
IOW the GP is only using ML for everything because it is a buzzword.
- PeterisP 8y agoML is one of subdomains in the AI field, so instead of "sometimes overlap" it's technically correct to state that ML is a strict subset of AI. What you use as description for AI tempts me to use the "use it as a buzzword" angle back at you here - it is a stereotypical description of some use cases of AI approaches; but there are others - [machine] learning, knowledge representation, planning and scheduling, reasoning (both formal logic reasoning and also reasoning under uncertainty e.g. Bayesian approaches), intelligent agent representation, etc, are all parts of the AI field.
- tkxxx7 8y agoThis last line seems unnecessarily rude. GP seems to understand well the two ML methods mentioned.