Just as electricity had transformed life some 100 years ago, followed by the sensational invention of the internet which had practically replaced traditional desk jobs with jobs that require the use of computers and the internet; machine learning is also bound to bring about a similar momentum in the human world when the pin finally drops and we are transported into a technology driven future.
It's just a matter of time before machine learning revolutionizes the world as we know it today and it takes over the job market. In fact, machine learning has already become one of the most trending and in-demand jobs of the 21st century. In the midst of all this growing need for machine learning professionals, where do you stand? And why should you learn machine learning?
According to a report by Gartner, AI will create 2.3 million Machine Learning jobs by 2020. India is already facing a shortage of ML Experts today and the demand for these professionals is at an all-time high. Because there aren’t enough skilled professionals to match this soaring demand, machine learning has become a highly niche and well paid profession.
Machine Learning is drastically changing the nature of job markets today. The job market is becoming highly technology-centric and this is not changing anytime soon. While most jobs will potentially go obsolete or become less relevant, machine learning as a profession has a bright future due to its obvious industry relevance and the growing importance of artificial intelligence and machine learning.
Needless to say, the need for Machine Learning Experts is not going away anytime soon. It will not fade into irrelevance in the years to come. The best part is that anyone can learn machine learning. Whether you are someone who wants to have an in-depth knowledge of machine learning or someone who simply wants to dip their toes in the water, there is a Machine Learning Program that is curated only for you.
A bright future awaits you. Get hands-on knowledge of machine learning to get into a profession that is here to say. Take the first step and check out available courses in machine learning today.