Supervised
This kind of learning is possible when inputs and the outputs are clearly identified, and algorithms are trained using labeled examples. To understand this better, let’s consider the following example: an equipment could have data points labeled F (failed) or R (runs). Machine Learning: What it is and Why it Matters | Priyadharshini @ simplilearn
