Machine learning is a field of artificial intelligence that involves teaching machines to learn from data, without being explicitly programmed. In other words, it is a way to enable computers to learn from experience, just like humans do.
The process involves feeding large amounts of data into algorithms that are designed to analyze and identify patterns within the data. The algorithms use these patterns to make predictions or decisions about new data.
There are several types of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, the algorithm is trained on labeled data, which means the data is labeled with the correct output. In unsupervised learning, the algorithm is trained on unlabeled data and must find patterns on its own. In reinforcement learning, the algorithm learns by receiving feedback in the form of rewards or punishments based on its actions.
Machine learning has numerous applications, including natural language processing, image recognition, fraud detection, and predictive analytics, among others.