The 3 Basic Paradigms of Machine Learning

Modern machine learning is arguably the intermediate step between heuristics and artificial intelligence (AI). While AI will be a form of machine learning, the current generation of ideas we use will probably no longer be relevant when a breakthrough happens which allows for true artificial intelligence. Machine learning transcends traditional algorithms and rules when done right because it adapts to patterns which are harder to quantify and qualify. You don't just map out rules, you show the system what you want, have, or let it experience the system and it seemingly learns from it. Modern day machine learning isn't magic (despite what SaaS companies may say), and ironically it isn't even all that intelligent.