Machine Learning is a hot topic in the tech industry right now, and for good reason: it represents a significant advancement in the way computers learn. Machine Learning Engineers are in high demand, thanks to advances in technology and the development of massive volumes of data, sometimes known as Big Data. Some of its Machine learning’s popular applications are:

Social Media- Facebook

Automatic Friend Tagging Suggestions on Facebook or any other social media site is one of the most prevalent Machine Learning applications. Face detection and image recognition are used by Facebook to automatically discover the face of a person that matches its database, and it then advises that we tag that person using DeepFace.

Transportation- Uber

If you've ever used an app to book a taxi, you've already utilised Machine Learning. It gives you a tailored application that is exclusive for you. Based on your History and Patterns, it automatically recognises your location and offers options to go home office or any other frequent location.

Sales- Hubspot

Anyone acquainted with HubSpot knows that the company has a history of being an early adopter of new technology, as it demonstrated earlier this month when it announced the acquisition of machine learning firm Kemvi.

Product Recommendation

It is one of the most well-known and widely used applications of machine learning. Product recommendation, which is an advanced use of machine learning techniques, is one of the most prominent aspects of practically any e-commerce website nowadays. Websites use machine learning and AI to track your behaviour and offer product recommendations based on previous purchases, search patterns, and cart history.

Pinterest

Pinterest occupies an odd role in the social media ecosystem, whether you're a die-hard pinner or have never used it before. Given that Pinterest's principal job is to curate existing content, it stands to reason that investing in technologies that can make this process more efficient would be a top priority — and it is.

In a Nutshell...

Even the most advanced AI can only learn as well as the training it receives; machine learning systems frequently require massive amounts of data to be educated. Machine learning systems will require less and fewer data to "learn" in the future, allowing them to learn considerably faster with far smaller data sets.