Machine learning is having a huge impact in almost all the industries. From Google brain to self-driving cars all are made using a machine learning algorithm. It is currently growing and expanding rapidly and more and more people are learning it.
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. The scope of machine learning in the future is only limited by our imagination. Things that we once saw in movies and our wildest dreams become likely thanks to machine learning. There's plenty of ways machine learning are helping our lives get better. Some of them are so instrumental to our lives we probably couldn't live without them.
According to Jobs Search Indeed, just about every software programming job involves some concepts of machine learning and with new job roles and domains opening up every day:
According to KellyOCG India, demand for Artificial Intelligence and Machine Learning specialists in the country are expected to see a 60% rise by 2018 due to increasing adoption of automation. The reason stems from the seemingly unlimited use cases in which machine learning can play a role, from fraud detection to self-driving cars to identifying your "gold card" customers to price prediction. The demand for engineers and scientists with knowledge in Machine Learning is growing as the amount of data in the world increases. With the current increase in IoT and connected devices, we now have access to so much more data and along with it, an increased need to manage and understand what we know.
Also, because so many different industries are starting to rely on machine learning, you have a great opportunity as a developer to learn how it works and how it might bring value to your product. Earlier machine learning is also called statistical learning. It is the science of learning from large historical data. It is seeing resurgence these days due to the higher information processing and memory processing ability of today's computing systems. Machine learning as a concept is here to stay which will have a lot of applications across all industries. Only the technology, tools, platforms which makes use of machine learning evolves. It can be used for pattern recognition, image recognition, speech recognition, predictive analytics etc. The scope of machine learning only keeps increasing.