Machine learning results depend on the Data you entered to train it

The machine learning concept is based on data training. So if you enter the highly labeled information, then ML algorithms will define the patterns and form models according to the analysis. The results will entirely depend on the quality of data provided to algorithms. For example, imagine you are teaching your child to say apple but showing the information related to the pineapple. The child will surely give the result based on your Data which is wrong. So, in this way, we need to feed the ML algorithms with correct and labeled data to learn from it.