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Machine Learning Vs. Artificial Intelligence: How Are They Different? Posted on Jul 11 - 2018

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Artificial intelligence and machines have become a part of everyday life, but that doesn't mean we understand them well. Do you know the difference between machine learning (ML) and artificial intelligence (AI)?

If you're hoping to use one or the other in your business, it's important to know which one to focus on. ML and AI are related, but they aren't the same, and they aren't necessarily suited to the same tasks. You can take your business to the next level by knowing when to choose ML or AI.

This guide will walk you through everything you need to know about AI and ML, from what they are to why they're different. Keep reading to learn how this modern tech can help you and your business.

Machine Learning Vs. Artificial Intelligence: The Basics

Here are two simple, essential definitions of these different concepts.

AI means that machines can perform tasks in ways that are "intelligent." These machines aren't just programmed to do a single, repetitive motion -- they can do more by adapting to different situations.

Machine learning is technically a branch of AI, but it's more specific than the overall concept. Machine learning is based on the idea that we can build machines to process data and learn on their own, without our constant supervision.

Let's take a closer look at what these two concepts really mean and how they developed.

In The Beginning

Needless to say, AI and machine learning are relatively new. The concepts stretch back to certain imaginative individuals from decades, centuries and even millennia ago. But it's only recently that these dreams became realities.

The concept of AI really solidified with the earliest computers. These first computers weren't making any decisions on their own, of course. However, they were "logical machines" that were able to remember information and make calculations. The people creating these machines knew that they were working to make a brain-like machine.

However, technology has gotten much more advanced since then, so our ability to make brain-like machines has advanced, too. In the past few decades, we've also developed a better understanding of how our own brains actually work.

The more we understand these things, the more the approach to AI changes. Our computers can now make incredibly complex calculations, but developments don't really focus on those now. Instead, people are seeking to create machines that can make decisions in similar ways to humans and use those decisions to complete tasks. View More

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