When we use navigation, it will show us busy roads, road works going on, any traffic blocks, etc. How this is happening? And sometimes it says “you are on the fastest route” or ‘Toll plaza ahead”. Well, this is happened by the combination of people using the same service. The map helps us to navigate collect data from users using the same service on the same route. If the vehicle is moving slowly, it assumes there is some problem going on and it will automatically add this info to the route. Another user who is starting on the same route using the same navigation gets the notification of this traffic block and he will be re-routed to a faster route.
This is how machine learning works. Machine learning constantly analyses data. These analyzed data are interpreted and used for decision-making. The same thing happens with Artificial Intelligence. Machine learning is a part of Artificial Intelligence. Now, most of the applications and software use machine learning frameworks to increase business intelligence. Machine learning also increases the productivity of the business.
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How does Machine Learning work?
Machine learning works with help of certain features. Let us look into some features that help machine learning to complete tasks.
- User Behaviour Analysis
This is mostly done in businesses or online shopping. If we open an online shopping site and search for a particular product, we will be getting customized suggestions of the same product whenever we use the internet. New launches, news, etc related to that particular product will be shown to us frequently. The same happens with social media. If we are watching music videos more, our feed will give music video suggestions more.
- Data Analysis
Navigation is a process where data analysis is used more. Busy roads, work in progress everything is analyzed and give instructions to users. In general, we can say traffic alerts are done with the help of data analysis. In the healthcare and Finance sectors, data analysis is the key factor of machine learning
- Automation
Automation is now getting new levels. Automated vehicles analyze the surroundings and act according to that. These are the most advanced technological improvement. Automation is a process that is constantly improving. In machines, learning automation plays a key role.
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Top X Applications for Machine learning
I. Virtual Assistant
Virtual assistants are machines which we can converse with like humans. They are providing services in many sectors. It is more like a calling agent in the business. We can make queries about products and services. They can analyze personalized data and understand voice requests.
II. Facial Recognition
Facial recognition is a key application of machine learning that is used widely now. This is used for identifying persons. An image of a person can be used for getting his details from the database. The same technology is used in gadgets for privacy passwords.
III. Product Suggestion
Shopping is mostly done online nowadays. People can order any products with the help of a laptop or mobile and an active internet connection. When we search for a product, the suggested product with our required specifications will also be shown. This helps in shopping for the customers.
IV. Product Recommendation
This is also a machine learning application for e-commerce sites. When a customer purchased a product, these websites will give recommendations based on that purchased product. If the customer bought a tv, the site will give recommendations of tv which have more features than the one previously purchased.
V. Automated Cars
This is a revolution in technology. Cars that don’t need drivers. We can simply give the location we want to go to, the car will automatically drive us to the location. Machine learning is constantly improving on its automation feature. So these cars will be upgraded with more features
VI. Language Translation
In social media, we see posts in languages that we don’t know. But the use of machine learning gives us the option to translate these. The algorithms of machine learning now help voice recognition and translate conversations instantly.
VII. Pricing
In economics, pricing is done by considering some factors. Businesses price their products based on the costs incurred and their profits. In machine learning, it helps the business to make dynamic pricing by analyzing the recent buying trends. Machine learning helps businesses to fix competitive prices.
VIII. Online Video Streaming
In this pandemic period, people were heavily relying on online platforms for watching movies and series, etc. How do these platforms retain their customers for long? Machine learning closely analyses the watching trends of customers and makes suggestions according to that. That is how these platforms retain their customers.
IX. Healthcare
There are several applications in the healthcare sector by machine learning. From the consultation of doctors to therapies, machine learning plays a key role. The queue system for consulting doctors, the therapies, results of lab tests, patient records, medication everything is backed by machine learning frameworks.
X. Transportation
If you have ever used an online taxi service, then you have used machine learning. It automatically detects your location and also finds out the nearest cab location and gives him the passenger information. And also they analyze your recent history and suggest places according to your tastes.
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Conclusion
Machine learning is being used by people in their day-to-day life. It has implications across all sectors. It has an influence on our shopping tastes to our locations of travel. In this tech-savvy world machine learning is acting as a personal assistant to us. In the coming future, machine learning will have a key role in society.
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