Big Data And Machine Learning Are Important In Our Society
Why Big Data And Machine Learning Are Important In Our Society
Why Big Data And Machine Learning Are Important In Our Society? The singularity is near, or maybe we’re already in it. Whatever the case is, machine learning and big data will have a tremendous influence on our society. The machine minds are coming online, and you had better learn to adapt if you want to succeed.
But what are big data and machine learning? Keep reading to find out.
Computers have certain capacities. They have a memory to store information. They have computational power, with some machines performing more “flops” per second than others.
What happens when these machines face such a large amount of data that traditional techniques of analysis start to fail? That’s the world of big data, and it’s a world we’re living in now.
The Last Polymath
Thomas Young was a physicist who lived from 1773-1829 in London. According to Andrew Robinson in his book The Last Man Who Knew Everything, Young was the world’s last true polymath.
The world has become too complex for humans to even try to know everything. That’s what big data is: It’s the realization that there exist piles of data where traditional human methods of analysis fail. The world is too complicated for the human mind to make sense of every part of it. This presents a serious challenge and a tremendous opportunity for enterprising people who can apply automate techniques to help solve problems.
Why Is Machine Learning Important?
That’s where machine learning comes in. Machine learning is a field that combines artificial intelligence, computer programming, business and philosophy all in one.
But what is it? When your eyes take in information (say, a charging water buffalo is running at you), your mind processes the data and makes a decision (get out of the way!). Machine learning is about computers taking in huge amounts of data and solving for the best outcome.
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Machine learning is a way for humans to solve problems without actually knowing how to solve them or why a particular approach works. Machines can try out every possible choice and do it very fast. If there are a million options but only one of them is correct, computers can simulate all million events and systematically determine the correct outcome.
In the movie War Games, the Pentagon trusts an AI with running nuclear simulations against the Soviet Union. It tries every possible combination of potential attacks before coming up with the answer: “The only way to win a thermonuclear war is not to play.”
Let’s say you are a major product distributor. You sell hammers on a global scale. The question is, “Should we build another hammer factory?” How do you answer such a question?
One approach would be to take a giant pile of data — say, 50 million credit card receipts — and try to guess if more people are buying hammers or fewer people are buying hammers. But how can you do this?
Machine learning and big data can solve this problem of hammers. Or at least they can point us in the right direction. There are all sorts of problems like this in the world, and big data and machine learning are beginning to sort them out.
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