Understanding Machine Learning Math
Mathematics is the foundation of every scientific field. Machine learning is no different. The earliest machine learning research was born from theoretical mathematical analysis. Researchers working in machine learning lacked sufficient computing power and data to test their ideas. As a result, machine learning was often overlooked in favor of expert systems and more logical approaches to artificial intelligence.
Expert systems and logic-based approaches generally centered around the idea that it should be possible to “create” intelligence from a finite set of rules and logical primitives. Programming languages like Prolog stemmed from this belief. Today, with an abundance of computing power and data, machine ...
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