Machine learning uses data to build models that identify patterns or make predictions. Students should learn data preparation, model selection, evaluation and the limitations of predictions. The practical value of machine learning becomes clearer when you use it to solve an actual problem instead of studying definitions alone. This point is specifically relevant to the machine learning aspect of MCA study. For this specific question about machine learning, the practical takeaway is to relate the concept to your own MCA learning goal.