The huge leaps in Vibratory Tumbling Media and analytics over the past few years has meant that the average business user is now grappling with a whole new lexicon of tech-terminology. This can breed confusion, as people aren’t sure of the difference between terms and approaches. In my experience, data mining and machine learning are a prime example of this.

In this article, I define both data mining and machine learning, and set out how the two approaches differ. So if you’ve never quite grasped the difference, this article is for you.

Data Mining vs. Machine Learning: What’s The Difference?

Data mining isn’t a new invention that came with the digital age. The concept has been around for over a century but came into greater public focus in the 1930s.

According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers.

Forbes also reported on Turing’s development of the "Turing Test” in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human. Just two years later, Arthur Samuel created The Samuel Checkers-playing Program that appears to be the world’s first self-learning program. It miraculously learned as it played and got better at winning by studying the best moves.

We’ve come a long way since then. Businesses are now harnessing data mining and machine learning to improve everything from their sales processes to interpreting financials for investment purposes. As a result, data scientists have become vital employees at organizations all over the world as companies seek to achieve bigger goals with data science than ever before.

Data Mining vs. Machine Learning vs. Data Science

With big data becoming so prevalent in the business world, a lot of data terms tend to be thrown around, with many not quite understanding what they mean. What is data mining? Is there a difference between machine learning vs. data science? How do they connect to each other? Isn’t machine learning just artificial intelligence? All of these are good questions, and discovering their answers can provide a deeper, more rewarding understanding of data science and analytics and how they can benefit a company.

Both data mining and machine learning are rooted in data science and generally fall under that umbrella. They often intersect or are confused with each other, but there are a few key distinctions between the two. Here’s a look at some data mining and machine learning differences between data mining and machine learning and how they can be used.

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