October 22, 2018
August 08, 2018
Artificial intelligence plays a large role in the future of machine learning, so what does that mean for the future of big data? Continue reading to learn more about the big changes on the horizon.
The big data revolution is underway; the industry is valued at $40 billion and the technology has a lot of room to grow.
Big data combined with machine learning promises to be one of the most exciting developments of the 21st century. So what is machine learning, and how will it affect the big data?
This article will tell you everything you need to know about the future of machine learning and big data.
Machine learning is a type of artificial intelligence. Specifically, it's the process by which a computer teaches itself new things by observing the world around it.
For example, imagine you wanted to build a software program that could beat Super Mario Brothers. You could write a program that analyzes every situation and determines whether to jump, move right, or move left. But that would take you weeks.
With a machine learning approach, you would teach the program a few basic moves and then let it play. Your program would fail over and over again, but it would learn new strategies every time.
And with a fast enough processor, it could play hundreds or thousands of games a minute. Your program would be a world-class Super Mario player in a few days.
Now, imagine programs that teach themselves how to identify diseases or analyze scientific data. That's the future of machine learning.
Big data is all about gathering as much information as possible and analyzing it for trends and patterns. For a human, that's no easy task. But machine learning is perfectly suited to the task.
For example, give a machine learning algorithm large amounts of old financial data. It will compare that past data to the observed market performance, and then use current data to make predictions about future market performance.
A variety of fields can benefit from machine learning and big data.
Machine learning algorithms will analyze giant sets of old patient data. They'll then be able to make predictions about current patients.
For example, if a patient's data set shows signs of possible breast cancer, the algorithm will recommend a screening. This system would be able to recommend worthwhile procedures and discourage wasteful procedures, saving the patient money.
Big data in retail is already commonplace, but we're going to see it become more prevalent and more accurate. Right now, when you look at a product on Amazon, the website recommends other products you may be interested in. It's using your order history and the order history of all its other users to make that guess.
This type of recommendation algorithm is extremely valuable for advertisers and retail companies, and this sector seems to be out in front of the big data revolution.
Self-driving cars are one of the more exciting uses of big data and machine learning. These cars are constantly taking in information about their environment and learning how best to respond. Luckily for us, they've done most of their learning in closed-off lots.
The future of machine learning and big data promises to be dynamic and game-changing. These technologies will disrupt every sector they touch. So, keep an eye on them if you don't want to get left behind.
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