Top 10 Common Applications of Machine Learning in 2023

This article enlisted the top 10 common applications of machine learning in 2023

Machine learning is no longer restricted to just a few machines doing basic calculations. Today, with the advancement of technology, machine learning has catered to a wide range of applications. Out of the countless applications that machine learning caters to, let us have a look at the most unique ones. In this article, we will throw light on the top 10 common applications of machine learning in 2023.

1. Online Shopping: As a result of machine learning, online shopping has got a lot more interesting than ever. The algorithms create a list of the products that fit the user criteria of being useful or similar, that the users might be interested in looking at and potentially buying in similar and different categories.
2. Marketing: With the advancement in technology, it is very much possible that shortly, consumers on the web to buy products by snapping a photo of them. Well, thanks to machine learning.
3. Enhanced Photos: Google highly relies on artificial Intelligence. Google Photos is one such dimension. It uses machine learning to let users look up photos of particular people in their contact lists or tags. It identifies the faces of different people in your pictures and enables you to tag them or search accordingly.
4. Healthcare: The extent to which machine learning has impacted the healthcare sector cannot be put into words. It has helped patients all over the world. Right from the diagnosis of the disease to performing surgery, we indeed have come a long way.
5. Surveillance: Surveillance is something that deserves a special mention for we know how much important it is. Machine learning can be trained using supervised exercises, developing security algorithms, identification protocols, and much more. With this, machine learning can identify potential threats and warn human security officers to investigate further.
6. Self-driving Cars: Who cannot think about Google's self-driving car project to Tesla's "autopilot" feature when comes to Artificial Intelligence? Well, all this is just an indication of how machine learning has carved a niche for itself in the automotive industry.
7. Agriculture: Today, we have reached a stage wherein agricultural issues such as climate change, population growth, and food security concerns are no longer something to bother about. We have come up with innovative approaches to improve crop yield as a result of machine learning.
8. Social Media: The prominence of Artificial Intelligence in social media cannot be merely put into words. Out of the many areas that it caters to, the most common use of machine learning in social media is for face verification and detecting facial features.
9. Banking and Finance: The financial sector has seen a lot of technological advancements. Thanks to machine learning. As a result of this, a lot of banks and financial institutions have already adopted AI-based systems to provide customer support and detect anomalies and credit card fraud.
10. Gaming: Machine learning has transformed the gaming sector exceptionally and we can only thank the technological advancements we are blessed with. Over some time, machine learning has become an integral part of the gaming industry and has evolved to become one of the biggest accomplishments of this advanced technology in the gaming industry.