"Machine Learning will gain a significant traction in 2018. Seeing the technologies evolving we can be sure that this trend will continue to rise with time. From small companies to MNCs all are able to channelize ML using cloud computing at a fraction of the cost that was actually incurred in building those systems. The access to business intelligence across the world will definitely disrupt the way businesses function.
Machine learning combined with artificial intelligence is slowly going to take over manual routine jobs across all industries.
ML Trend will also disrupt the education system as academicians will have to figure out courses to fill the ever widening demand and supply gap.
We can already see the tech giants competing aggressively to show their strengths but it is certain that is there is more to come."
"The finance industry has historically used machine learning in consumer services such as credit checking and fraud investigation. But recently, with more accessible computing power and open source tools, the financial sector is using machine learning in applications ranging from loan approval and risk assessments, to asset management.
Machine learning is employed to replicate the human response to current affairs for decision-making in hedge fund trading.
Machine learning is at the core of many innovations that are set to improve our daily lives.
Because of new computing technologies, machine learning today is not like machine learning of the past. It was born from pattern recognition and the theory that computers can learn without being programmed to perform specific tasks; researchers interested in artificial intelligence wanted to see if computers could learn from data. The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results. It’s a science that’s not new – but one that has gained fresh momentum.
Machine learning is a fast-growing trend in the health care industry, thanks to the advent of wearable devices and sensors that can use data to assess a patient's health in real time. The technology can also help medical experts analyze data to identify trends or red flags that may lead to improved diagnoses and treatment.