Machine Learning is the process of teaching machines to learn from data and make decisions or predictions without being explicitly programmed.
There are several types of Machine Learning methods, including Supervised Learning, Unsupervised Learning, Semi-Supervised Learning, and Reinforcement Learning.
Supervised Learning involves training the model using labeled examples with correct output, while Unsupervised Learning deals with finding structure or patterns in unlabeled data.
Semi-Supervised Learning and Reinforcement Learning combine aspects of labeled and unlabeled data for training models through smaller data sets or trial and error, respectively.