A Simple Guide to the Basics of A.I.
The lingo behind machine learning may sound complex, but the concepts are surprisingly intuitive
Terms like “machine learning,” “deep learning,” “neural networks,” “artificial intelligence” or “A.I.,” “data science,” and more have been the buzzwords of the last few years in technology. Because of advances in computing power and an increase in the amount of data available, techniques that have been known about for decades can now be put into meaningful practice.
But what do they actually mean?
Mathematical equations give machines a basic understanding of something we have learned as humans.
Most of us are aware of the 10,000-foot explanation along the lines of “It’s all about teaching computers to solve problems for us,” but many people probably aren’t aware of what is actually going on under the hood. The basics of machine learning are simple enough, intuitive enough, and, more importantly, interesting enough to be picked up by anyone in a relatively short amount of time.
This simple explanation of how machine learning is used to teach a computer to solve a problem is targeted toward those with no knowledge of machine learning or those who want to start…
