Machine Learning has come a long way from being a method of data analysis for analytical model building to become the strongest progression tool for understanding today’s data-driven world. In a steadily evolving tech landscape, almost every application that is being developed today must be an intelligent application if it wants to be relevant and successful to our modern needs. Chances are you’ve heard about major companies using this machine learning technology, from Tesla and Google’s self driving cars, to amazing breakthroughs in the medical field with machines capable of predicting illnesses, and countless other examples. We don’t need to look very far to see the ways machine learning affects our lives, from grocery shopping to medical check ups, it is all around us!
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