Is machine learning a form of magic?

It isn't magic in the sense of the top hat and the rabbit, but it might be considered magic in terms of the power potential. We all hear the terms AI and ML a lot these days, and some of us have used technology that fits into these tech areas.

First, some definitions[1]:

Artificial intelligence (AI) is a science like mathematics or biology. It studies ways to build intelligent programs and machines that can creatively solve problems, which has always been considered a human prerogative.

Machine learning (ML) is a subset of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In ML, there are different algorithms (e.g. neural networks) that help to solve problems.

Deep learning, or deep neural learning, is a subset of machine learning, which uses the neural networks to analyze different factors with a structure that is similar to the human neural system.
Machine learning is the piece that drives a number of items we run into frequently in our lives[2], including chatbots on websites or phone menus, shows that are recommended for you in your streaming service, and probably in the flashiest sense in partially and fully autonomous vehicles.

With the rise of machine learning as one of the most common artificial intelligence components, it is something worth being familiar with so that as it comes up in your personal or work lives, you are armed with the basics and more if interested. I've listed two articles below that I both found interesting and used as references for some of the above comments.

Maybe my next blog will be written by...



References:

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