Introduction
Machine learning is an optimistic venture which has enabled computers to acquire and interpret without being directly programmed to do so. This functioning involves data analysis and interpretations.
Machine Learning is a subset of Artificial Intelligence which instructs machine about the learning process. It’s one of the prominent applications of AI in which computers and software perform as same as the human brain.
Nonetheless, Machine learning has evolved considerably differently than earlier days because of the advancement in technology. Nowadays, machine learning is most used in our daily life like Google Maps, Google Assistant, Alexa, and many more.
Here we will share the seven most extensively used examples of machine learning that we use in our daily life. Most of us have no idea that we are already dependent on Machine Learning then we have ever thought.
- Health care and medical diagnosis
One of the most essential features of Machine learning is disease diagnosis. In medical science, machine learning is commonly used to build 3D models to detect and predict the exact position of lesions in the brain. This advanced technique is quite useful in detecting brain tumours and other brain-related diseases.
The wearable sensors provide accurate information about the patient’s vital parameters, heartbeat, and blood pressure. This information further helps in analyzing the health condition of a person and able to conclude the patient’s history. In this way, doctors can diagnose an acute problem. That’s why Machine learning has emerged as the fastest-growing trend in the medical field.
- Online Fraud Detection
Machine learning is playing a vital role in detecting online fraud. Whenever we conduct an online transaction, Feed Forward Neural network check whether if its an authentic transaction or a fraud transaction. Most of the online payment portal uses Machine Learning for protection against money laundering.
The company wields a set of tools that encourages them to distinguish between legitimate or illegitimate transactions taking place between the buyers and sellers. One transaction is carried out. The output is converted into some rough values and which in return becomes an input for the subsequent transaction. In this way, a specific pattern is noted which changed if the transaction is fraud and makes our online transactions more secure. Hence, Machine learning is making cyberspace a secure place by tracking online frauds.
- Product recommendations
Have you ever noticed why to do you keep receiving emails for shopping suggestions right after you made your first purchase? This happens because, based on your preference on a website or app, product recommendations are given to you which matches your taste.
Whenever you search for a product on any e-commerce and entertainment website or app, you will receive suggestions for similar products while internet surfing and this happens because of machine learning. Google or other search engines get properly acquainted with user’s interest using machine learning and enhance their user’s experience. This is remarkably similar to receiving suggestions on Netflix and Amazon prime according to the previous series and movie viewed.
- Traffic Prediction
Google Maps and GPS navigation services have been a tremendous help whenever you have decided to explore a new place. It tells us about the shortest route while traffic is at peak. It also predicts traffic conditions whether traffic is cleared, slow-moving, or heavily jammed.
Machine learning calculates the real-time location of the vehicle form google map and sends signals. This roughly calculated data is then used to design a map of the current traffic. Under such circumstances, an area with less congestion can be easily found. Information gathered from the users is sent back to improve the performance.
- Email spam and malware
We write and exchange a hundred or fewer emails every day. Whenever an email landed in your inbox, it’s automatically filtered as important, promotional, social, and spam. Machine learning is the technology behind this recent innovation. Multi-Layer Perceptron, Decision tree are some of the machine learning algorithms that are used for email spam filtering and malware detection.
All thanks to Machine learning for saving our time every day by sending spam to spam box. There are few spam filters often used by Gmail such as content filter, header filter, Rules-based filters, Permission filters, etc.
- Image Recognition
Image Recognition is one of the most convenient applications of Machine learning. This can be utilized to identify objects, places, persons, and many more. Face detections and recognition algorithms happen because of machine learning.
Social media platform such as Facebook is enabled with a feature of automatic friend tagging suggestion. For instance, you have uploaded a picture with your Facebook Friends, then Facebook will automatically offer you suggestions with a name. The technology behind this advanced feature is Machine learning.
- Online Customer Support
Nowadays, several websites provide an option to chat with a customer support representative while you are surfing on the website. This category of customer support may be a live executive or not who can address your queries.
While chatbots are the most preferred one as they are a time saver and offer instant. These chatbots understand your query better and gather information from the website to present a perfect answer to you. This is possible only because of Machine learning.
Conclusion
Machine learning is an important application of Artificial Intelligence. This has reduced human dependence and empowered software to learn, explore without human interference. Machine Learning algorithm is already being used and but very few have adequate information about it.