Tuesday, 12 September 2017
Machine Learning Applications by US Technosoft
Today, companies are using Machine Learning to improve business decisions, increase productivity, detect disease, forecast weather, and do many more things. With the exponential growth of technology, we not only need better tools to understand the data we currently have, but we also need to prepare ourselves for the data we will have. To achieve this goal we need to build intelligent machines. We can write a program to do simple things. But for most of times Hardwiring Intelligence in it is difficult. Best way to do it is to have some way for machines to learn things themselves. A mechanism for learning, if a machine can learn from input then it does the hard work for us. This is where Machine Learning comes in action.
Some examples of machine learning are:
§ Typical applications include Web-click data for better UX (User experience), Medical records for better automation in healthcare, biological data and many more.
§ There are some tasks that cannot be programmed as the computers we use are not modelled that way. Examples include Autonomous Driving, Recognition tasks from unordered data (Face Recognition/ Handwriting Recognition), Natural language Processing, computer Vision etc.
§ This is the closest we have understood and mimicked the human brain. It is the start of a new revolution, the real AI. Now, after a brief insight lets come to a more formal definition of Machine Learning