Top 20 Machine Learning Algorithms, Explained in Less Than 10 Seconds Each

Machine learning is a method of data analysis that automates processes for model development. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal user intervention [2]. Machine learning algorithms are used in a wide variety of applications, including email filtering, detecting fraudulent credit card transactions, stock trading, computer vision, speech recognition, and more. There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning is where the data is labeled and the algorithms learn to predict the labels. For example, in a dataset of images of cats and dogs, the labels would be "cat" and "dog."