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What is Machine Learning & why it is important?
Technology & Science / July 7, 2018

Machine Learning (ML) is new age computing technology. It was born from pattern recognition and theory of computers. It can learn without being programmed to perform specific tasks. Researchers interested in artificial intelligence want 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 domain of engineering where algorithms and computer based programs are learnt from data and past experience and provides decisions and analysis based on their experience and learned knowledge. Machine Learning: Basic description Machine learning is a set of tools that, broadly speaking, allow us to “teach” computers how to perform tasks by providing examples of how they should be done. For example, suppose we wish to write a program to distinguish between valid email messages and unwanted spam. Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. Machine learning is programming computers to optimize a performance criterion using example data or past experience. We need…