What is machine learning? How does it differ from traditional programming?
Machine learning is a type of artificial intelligence where a computer system can learn to recognize patterns and make predictions based on data, without being explicitly programmed to do so. Unlike traditional programming where rules and instructions are explicitly coded into the program, in machine learning, the program learns from examples and data.
For example, imagine you want to develop a spam filter for your email. With traditional programming, you would have to manually program rules to identify spam emails, such as certain keywords or phrases commonly used in spam emails. With machine learning, you would train a model using a large dataset of emails that are labeled as either spam or not spam. The model would learn to recognize patterns in the data and use that knowledge to make predictions on new emails, without needing to be explicitly programmed with rules.
Another example is image recognition. Traditional programming would require explicit instructions to recognize objects in an image, such as identifying certain shapes or colors. With machine learning, a model can be trained on a large dataset of images, allowing it to learn to recognize patterns and make predictions on new images.