Machine Learning is the idea that a computer can learn from data instead of being told exactly what to do. For example, if you show a computer many emails and tell it which ones are spam and which are not, it will start to understand the pattern and identify spam emails on its own. So, instead of writing rules, we give examples and the system learns from them.
Deep Learning is a more advanced part of Machine Learning. It works using something called neural networks, which are designed to act a little like the human brain. These networks have many layers, and that is why it is called “deep.” Because of these layers, deep learning can handle more complex tasks like recognizing faces in photos, understanding speech, or translating languages.
