In Search Engine Result Refining
Search engines like Google, Yahoo, Bing, safari and others use machine learning to improve the search results for you. Whatever you search on the web, the algorithms at the backend keep a watch at how you respond to the results. when you click on the top results and stay on the page for long time, the search engine assumes that the results it displayed were in accordance to the query. Likewise, when you see the other pages of search results but do not open any of the results, then the search engine calculated that the results served to globe did not match requirement. That is the way, the algorithms working behind to improve the search results.
In Recommendation Systems
Recommender systems are used in various domains, and are most commonly recognized as playlist generators for video and music services like Netflix, YouTube and Spotify, product recommenders for services such as Amazon, or content recommenders for social media platforms such as Facebook and Twitter. These systems can operate using a single input, like music, or multiple inputs within and across platforms like news, books, and search queries. Many popular recommender systems work on specific domain like restaurants and online dating. Recommender systems have been developed to explore research articles and experts, collaborators, financial services, and life insurance.
In Language Translation
Language translator is the another application of machine learning. Everybody using Google translator but do we know how it work. It is the machine learning which plays a significant role in the translation of one language to another. Sometimes we may be surprised how the websites can translate from one language to another effortlessly and gives contextual meaning as well. The main algorithms or techniques behind the translation tool is called ‘machine translation’. So, it is very useful to interact with people from all corners of the world, without its life would not be as easy as it is now. With this people can understand other languages also.
In Product Recommendation
Everybody is shopping online. Whatever you shopped on past then you keep receiving emails and able to see ads on web for shopping suggestions. Sometimes you might have noticed that the shopping website or the app recommends you some items that somehow matches with your past choice. Mainly, some techniques refine the shopping experience but did you know that its machine learning doing the magic for you? On the basis of your past experiences on web and behavior with the app, purchased products, items liked or added to cart, brand preferences etc., the product recommendations techniques are made.
In Healthcare
Application of Machine Learning in healthcare. ML is playing an important role in the healthcare sector too. Sensors that are fixed in the wearable of the patient in order to provide information regarding the patient’s condition, heartbeat, blood pressure, etc.
The information that is gathered through the sensors could help the doctors in analyzing the health and condition of an individual. Doctors can predict the upcoming health issues that may worry about the patients.
And in case, if you are running a healthcare department, do consult some good software development company in India which may help you in various ways in order to maintain good relation with your patients.
