Practitioners make distinctions between machine learning (statistical analysis + optimization) and artificial intelligence (symbolic reasoning) for important re

Practitioners make distinctions between machine learning (statistical analysis + optimization) and artificial intelligence (symbolic reasoning) for important reasons. For starters, machine learning systems based on matrix multiplies and accumulation are fundamentally unexplainable in human terms; for others, they're applied to different problems (path planning and game-playing started as AI problems, and haven't seen statistical optimization applied until very recently)