Machine learning has been enjoying prominence across the business landscape for quite some time now. It has paved the way for technological advancements like never before. Simply put, there are tons of applications that machine learning caters to, thereby, simplifying our lives. On that note, have a look at the top 10 most interesting machine learning applications of 2022.
Almost all the e-commerce websites that one can think of relying on product recommendation systems heavily. Machine learning turns out to be the base of such recommendation systems. The websites you visit track your behaviour on the basis of your previous purchases, searching patterns, and history, and then come up with recommendations.
Facial recognition is a unique machine learning application that aims at interpreting and deriving information from visuals. Machine learning plays a pivotal role in facial recognition as it does everything from unlocking smart devices to identifying criminals.
A lot of companies across the globe rely on machine learning to identify objects, people, text, and activities in both images and videos. This turns out to be no less than a blessing for developers and data scientists as they can build, train and deploy ML models without any hassle whatsoever.
Machine learning has gained wide recognition for its ability to assess creditworthiness. Now, assessing the credibility of students as well as first-time credit card applicants who often do not have a credit history is no longer a problem as machine learning takes into account other factors like an applicant's current financial health and habits.
No wonder chatbots have become an integral aspect of a business. Gone are the days when chatbots used to follow established scripts that base the machine's subsequent actions on keywords. Today, chatbots have become way smarter as they understand humans like never before, handle requests better, and have more natural responses – thanks to machine learning.
This is one of the coolest and most innovative machine learning applications. The idea behind self-driving cars is that the model works on Deep learning and it crowdsources data from all of its vehicles and its drivers. We have reached a stage where self-driving cars have become increasingly popular across the globe.
One cannot deny the fact that digitizing exam papers, and documents by hand are time-consuming as well as inaccurate. This is exactly where ML comes into play. ML stands for the ability to scan and digitize documents in minutes.
Google translate is one of the most widely used machine learning applications. The technology is such that it makes use of machine learning to provide the most accurate translation of any sentence or word.
Speech recognition, the transformation of spoken words into text, is widely used in everyday life to create voice interfaces and voice assistants. This machine learning application has transformed our lives for the better, without a doubt.
Considering how rapidly the number of transactions has increased over the years as a result of credit/debit cards, smartphones, numerous wallets, UPI, and much more, it is important that we take every possible step to prevent fraud. Well, what better way of doing so than relying on machine learning?
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