One extremely important feature of technology that has started gaining more and more popularity over the past couple of years is machine learning. What is it exactly, a lot of people seem to have a hard time defining it. So, to save you the trouble, we’ve compiled all the information you’ll ever need into one article. In the following paragraphs, we’ll cover all aspects of what machine learning is and all the ways that this particular advancement could benefit you and your business.
Definition of Machine Learning
In simple terms, machine learning is the ability of machines to learn, develop themselves, and adapt to their environment based on past experiences. Sounds like some form of artificial intelligence, right? Well, that’s because it is an advanced form of AI. And, as advanced as it is, it’s not really as new as you might think. It’s been around for a while now, but what’s been advancing is the complexity of the algorithms that these machines are able to apply to their experiences and the data they receive.
How do Machines Learn?
Of course, with that question answered, arises another one: how does the whole thing work? Just like we said in the paragraph above, machines learn through algorithms. It all started with programmers typing up algorithms (a series of instructions) that the machines first followed to recognize patterns.
Then, after recognizing those patterns, the machines were instructed to carry out specific actions based on the patterns. You can notice it every time an email gets automatically filed as spam, or when your phone’s brightness decreases automatically.
Keep in mind that this basic function of recognizing patterns was back in the day. Now, machine learning has been put to use in many other ways. Have you heard of the Google car that drives itself? It uses sensors and sonar to retrieve data. Then through the complex algorithms, it’s capable of constructing maps, differentiating between cars and bikes, slowing down, speeding up, and so much more.
Is the Technology Restricted to Ultra-tech Gizmos?
Not at all. A lot of fields use this extension of artificial intelligence to perform all sorts of tasks. Banks use it in fraud prevention. Some businesses program their software to analyze people’s reactions towards them so they could get a better grasp of public opinion. And then there are others who depend on machine learning in data analysis to better their decision-making process.
How do you Get Access to Technology?
See, it’s not at all complicated. On one hand, you could hire an expert with a degree in machine learning, and they will create for you the perfect algorithm you want your machine to operate with. On the other hand, you could learn the ropes to manipulating the technology yourself.
There are countless courses you could take, starting with these certifications at Loud Programmer and other options all over the internet. Becoming an expert in the field isn’t that hard, says Mark Alford of Loud Programmer. That’s one main reason for pursuing a certificate in the field. Plus, you’d be able to use machine learning for your own benefit whenever you want.
What’s in it for Anyone?
Speaking of benefits, it’s about time we discussed how exactly does machine learning benefit people and businesses.
1. Data Analysis
One of the most efficient ways to use machine learning is by programming software to look for specific pieces of datum within massive piles of data. Through experience, machines eventually learn to notify when the desired pieces of data show up automatically.
In addition, you could train your machine to process and analyze the entirety of your data, be it views, sales, or even subscriptions. Not only that, but you’ll also find your software capable of determining why your data shifted.
2. Personalizing Customer Treatment
Because software is capable of tracing patterns, predicting what products a customer might like won’t be such a big deal for them. By analyzing a customer’s behavioral patterns, they’ll easily be able to offer relevant product suggestions for a potential buyer.
Now, imagine training your software to do the same thing, but with customer complaints. Technically, that means you’d have a free, highly intelligent customer service agent at your beck and call.
3. Enhancing Marketing Procedures
Through collecting Machine Learning data about your clientele base, a software could separate different consumers, according to their behavioral trends. In other words, instead of having your marketers target all your customers equally, the software highlights those who are more likely to buy what you’re selling. In doing so, you’d be saving yourself and your employees a lot of time, money, and effort.
For example, if your business offers free, as well as paid services, the software would help you identify who’s more likely to go for your paid services. After doing that, the software could also target personalized ads towards those customers to better persuade them.
4. Error Prediction and Prevention
While it’s a benefit that could be experienced in any field, manufacturing businesses are the ones who we expect to notice it the most. By integrating the machine learning technique with your production line, it’ll be able to easily detect shifts in productivity rates, which, when analyzed further, could point out any deterioration in the state of a specific machine. Needless to say, this would help in plotting out maintenance plans and preventing delayed orders.
So, as you can see, machine learning isn’t really that complicated, after all. In fact, it’s always been there, but now that it’s getting more advanced, it’s gaining popularity boost. That being said, this development in artificial intelligence has quite the remarkable effects of any business. Most commonly, it’s known to reduce costs, increase efficiency, and improve performance.
Think about it. If a computer is handling all the monotonous, precision-based tasks, without a doubt, this will leave more time for your employees to put their skills to more productive use. And the best part, all that you have to do is hire a programmer, or better yet, take up an expert class and do it yourself.