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. Students can judge their progress in machine learning by solving problems independently instead of depending entirely on guided tutorials. 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. In other words, this guidance addresses: Can machine learning help me switch into the IT industry?