What is the Future and Scope of Machine Learning?

The scope of machine learning is not limited to a particular domain but is expanding it is expanding its wings all around and it is exceptionally exciting. At present, almost every common domain is powered by machine learning applications. To call some such realms, IT sector, healthcare domain, media, computer program, digital marketing field, the presence of Machine Learning can be felt everywhere.

Machine Learning is a field that has undergone tremendous change in last decade, from being known as a powerful tool to an integral and fundamental part of every industry. Earlier, it was mostly seen as a separate domain of statistics and computer science. Yet over the years, Machine Learning has been impacting all domains such as IT sector, healthcare domain, media with an increased demand and ease of use of the field, it has become a hot topic for business professionals. Machine Learning is studied by different fields such as mathematics, computer science and statistics. Like any other science field, Machine Learning also has a large number of applications from which one can choose to pursue in this career.

Machine Learning Is improving day by day, companies are ready to adopt this technique for example ‘TESLA’ the huge automobile industry launched the self-driving car which made things easier for everyone like no need to learn driving.

The AI models of today can’t perform more than one task. That’s where research on deep learning & artificial intelligence comes in. It’s focused on developing more general applications and machines that can function in a number of different situations. AI is becoming more adaptable and sophisticated, with technology that allows it to be applied in different ways, including to new tasks. The future of AI is looking bright. The UK government estimates that by 2030, AI will create at least 100,000 new jobs for UK citizens. It will also reduce the cost of business and consumer products by up to 20%. and allow airlines to grow their airline ticket prices.

What are some examples of problems that artificial intelligence could potentially solve in the future?

Some potential applications for AI include improving medical diagnostics, driverless cars, managing your logistics & inventory and more. Examples of AI-powered applications are: Virtual assistants like Siri, Cortana and Alexa. They can help you with tasks like booking a flight or sending a text message.

Gartner predicts that AI will create close to 2.3 million job opportunities by the year 2022. And we can see this happening. Data Scientist, Machine Learning Engineers, Data Analysts, Deep learning Engineers, Computer Vision Engineers, NLP Engineers are few roles that are and will be in demand in the near future.

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