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10 examples of machine learning applications used in real-life
Machine learning applications
There are lots of applications that are being developed in Machine learning that build an intelligent computer system in order to learn from databases available to it. Machine learning is one of the best technologies that is being utilized in different fields these days.
Because it offers lots of amazing features and benefits. Currently, machine learning has been used in multiple fields and industries. Specially, it provides massive opportunities for entrepreneurs to explore, experiment, and build new businesses. See this article “How AI and Machine Learning can support your business“.
For example, medical diagnosis, image processing, prediction, classification, learning association, regression etc.
It improves the efficiency and work performance of different devices and makes them able to do all of those things that were considered quite impossible in past times.
While one of the most important technology that are being used with the help of machine learning is artificial intelligence.
With the help of this technology, you can easily develop intelligent applications and devices that can behave and function quite similar to humans.
They have the capability to learn from past experience or historical data through algorithms to make their future decisions better.
It becomes quite similar to a baby that learns from his/her observations and experience. And then practice further task with more care and perfection so that they can get the best possible results.
So, here we are going to tell you about some of the real-life examples of machine learning applications that will help you out to understand how important machine learning is for the future of this modern era.
Image Recognition
One of the most popular and commonly used examples of machine learning is image recognition. It is quite an easy and simple example to understand the significance and working of machine learning.
In the case of image recognition, the machine learning simply detects and identifies the image that is being represented to the algorithm in the individual pixels.
After reading this information, machine learning connects to the database and processes the individual pixels of an image. After, machine learning algorithms compares it with many pre-labelled images through classification algorithm, in order to recognize similar image.
When it finds the image, then the further process is done as you have instructed your application. But if the machine learning does not find the matching image, then it will not allow your application to move forward.
Additionally, you can add way more restrictions and conditions on this whole procedure and play out some tasks as you want to.
Sentiment Analysis
Another one of the greatest innovations that you have found with the help of machine learning and artificial intelligence is sentiment analysis.
It is quite obvious that a person cannot feel the actual emotions and feelings of the other person through written text.
If you read phrases or any kind of wording, then it will be quite difficult to understand the actual emotions of that person, as compared to the way if you are meeting him/her in person.
While this thing has been resolved with the help of sentiment analysis. With the help of this technology, you can easily analyze the actual emotions and sentiments of a person from the texts written by him/her.
It perfectly observes from the way of writing and the usage of words in what kind of mood the next person is.
In this way, you can easily find out the actual opinion of the writing person which he/she was hiding from you.
In the machine learning system, there are two types of learning algorithm supervised and unsupervised. Both of these can be used to sentiment analysis.
Videos Surveillance
Videos Surveillance is another one of the best applications that has been introduced in the market with the help of machine learning and artificial intelligence.
You might have noticed that a person is sitting in front of a bunch of screens at which different views are coming. Those people are continuously monitoring the activities in front of cameras that are being viewed on their screen.
In most the cases, this whole activity had to done by a single person all alone, which is quite difficult and boring, and in some other cases, there are bunch of people to monitor all of those screens, which is also not much easy or interesting.
In this case, video surveillance is one of the best options to consider. With the help of this technique, the whole cameras can be monitored at the same time by a single application.
It can detect any kind of irregular activity that is going to be done in such an area. Also, a surveillance camera use as a tool for helps reduce crimes and supporting investigations and prosecutions.
Speech Recognition
Speech Recognition is another one of the greatest machine learning applications that is being used all around the world these days.
There are lots of organizations and companies are using this technique to make their system more secure and make better decisions than before.
In this case technology, the control will detect the speech that it catches from the input device and start manipulating to identify the actual source of that voice. It checks the quality, pitch and other aspects of the sound from the database and also the wordings that were delivered in that speech.
When the whole procedure is done, then it offers the most suitable result as the output, which is quite perfectly the thing which was meant to ask or deliver in that speech. And this is all done by the machine learning and artificial intelligence technology.
Email Spam and Malware Filtering
Email spam and Malware Filtering is another one of the best ways to understand the importance of machine learning applications. It is another one of the best application that is widely being used all around the world.
This technique helps people to keep their systems secure from any kind harm and danger that they can get from any kind of virus.
This whole technique is held with the help of machine learning and artificial intelligence. When the system receives any kind of file or mail, it checks each and every aspect of that file like the content inside it, the receiver identifies, the network protocol and many more.
To read out each and everything in this procedure, it is highly important that there must be a proper technology used that is capable to do so, and that only one is machine language.
Online Fraud Detection
Another one of the greatest applications that are being used all around the world on a high level is online fraud detection.
This application is a great source to understand the significance of machine learning and artificial intelligence because it is totally being working out under this technique.
As you know that there are tons of security threats that are being offered online. Different hackers and inappropriate actors are using internet to throwback such disasters in the market those are not beneficial for systems and the devices.
In this case, protecting your data is quite a difficult task. While this thing is easily done with the help of online fraud detection.
This application easily detects any kind of inappropriate action, or we can threat that comes online and restrict it to get into your system.
This system is quite intelligent that it continuously keep learning from different experiences that it faced in the past, and then make further decisions for the future to make them better.
Predictions
Predictions are another one of the best applications that perfectly justifies the significance of machine learning. Most of the time it happens that you predict some of the things on the basis of your past experience.
The things that you have experienced in the past perfectly tells you the things that you will face in the future. The same thing happens in the case of this technology.
The system perfectly saves all the past experiences in the database and then predicts the things for future like weather, traffic prediction and many more.
There are several methods like Hidden Markov model can be used for prediction.
Author Identification
Author identification is another of commonly used technology these days that also perfectly portraits the significance of machine learning applications.
Because of the huge population on the internet, you cannot say that the person that is sending you the message is genuine or not? It might be possible that he/she is using the identity of any other person instead of itself.
In this case, the author identification is highly important to improve your data and system security. Additionally, organizations like Thorn use author identification to help end the circulation of child sexual abuse material on the web and bring justice to a child.
Medical Diagnosis
Medical Diagnosis is another of the most powerful tool that you can use in order to save someone’s life.
As you know that disease diagnosis was quite difficult in past times. People were not able to diagnose the actual ailment that a person is confronting due to which they used to lose their lives.
While now, you can easily diagnose any kind of diseases within minutes quite easily. And it is only possible because of machine learning.
Online Customer Supports
Online customer support is also a great example of artificial intelligence and machine learning. When you get a reply to your question from any company, then it is not answering any person. But there is a program behind it that smartly understands your question and give you the best possible answer against your query.
Well, above has described some of the machine learning applications as an example that are running successfully these days. So, consider all the above-described aspects and make sure to prefer machine learning instead of any other technology.
Thankyou!! Keep Learning, Keep Growing!!!
