Machine Learning
Machine Learning: Machine learning is a subset of artificial intelligence that focuses on developing algorithms that can learn from data and make predictions or decisions without being explicitly programmed to do so. Machine learning systems are trained using large datasets and are able to identify patterns and relationships in the data. There are several different types of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Supervised Learning: Supervised learning is a type of machine learning in which the algorithm is trained using labeled data. In other words, the algorithm is given input data along with corresponding output data, and it learns to predict the output based on the input. For example, if you were training an algorithm to recognize images of cats, you would provide it with a dataset of labeled images, where each image is labeled either "cat" or "not cat." The algorithm would then learn to recognize the