If you are a tech-enthusiast, you would know that the concept of artificial intelligence and machine learning has been around for decades. We have just reached a stage where computer power can handle such functions — especially in real-life applications.
Phew! That was a lot to take in. So, we dial down on technicalities and make things easy for you to understand.
What is Machine Learning?
To help you understand machine learning better, it will be best to start with artificial intelligence.
Through artificial intelligence, machines or computers can identify pictures and objects in them, translate between languages in split seconds, and even play games with humans.
These capabilities are possible because of the data and information they have stored in their memory (which serves seeming functions like the human brain).
Having understood the AI process, we can now proceed to define Machine Learning.
When you give machines access to data, and you let them learn and make decisions on their own — based on logical reasoning and comparisons with variables in the data provided, you would have successfully initiated the process of machine learning.
In other words, machines don't rely entirely on coding software to make decisions. Instead, they will learn from algorithms and decide what they want to do by themselves.
How Does Machine Learning Work?
As you already know, machine learning hinges on training machines or computers to think for themselves based on instructions.
Machine learning makes use of neural networks, which simulates the human brains to aid its learning process. Through the neural network or "computer's brain," machines learn how to mimic human intelligence — receiving data, processing data, and making decisions based on different scenarios or outcomes of events.
At the end of the machine learning process, computers can use the information at their disposal to make predictions in the stock markets or games based on past events.
Now to the question on virtually everybody's lips.
What Can Machine Learning Do?
We will not bore you with machine learning technical aspects, such as supervised learning and reinforcement learning or classification.
However, we will tell you a bit about supervised learning as it concerns machines.
Supervised learning is when computer systems are provided with feedback for every problem they solve — whether they got the solution it right or not, which is another way of asking "if the computer made the right decision or not."
Moving on, let's see how machine learning is affecting our world.
Applications of Machine Learning
· Smart Cars
Of course, there is no other way to start than smart cars. Do you know how cars can now warn drivers about obstacles when driving? That is a bit of machine learning at work.
As artificial intelligence and machine learning continue to advance, cars will go beyond alerting drivers of obstacles. Soon, they will be able to identify objects as well. This will be possible with the aid of sensors and information on driving environments, which will affect the cars' AI systems decisions.
· Web Search
If you are wondering how search engines like google predict what you are looking for before you finish typing, you just found your answer — machine learning! It's also responsible for matching your search with relevant results.
· How About Music and Video Recommendations?
Yeah, you guessed right. That's another prowess of machine learning. It's with the aid of machine learning that YouTube suggests what video or music you might want to view or listen to next.
As time goes by, machine learning will find more applications in our everyday life. There will be more practical applications, and pursuing a career in machine learning will give kids an advantage in the future when AI experts are in high demand.
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