Machine learning is a subfield of artificial intelligence (AI) that uses algorithms trained on data sets to create models capable of making predictions or decisions without explicit programming.
There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning, each with distinct methods and applications.
How it Works: Machine learning involves feeding data into algorithms, which then learn patterns and make predictions or decisions based on new data. This process includes steps like data collection, model training, and evaluation.
Applications: Machine learning is used in various fields such as healthcare for disease prediction, finance for fraud detection, and retail for personalized recommendations.
Benefits and Challenges: While machine learning offers benefits like improved efficiency and automation, it also poses challenges such as data privacy concerns and the need for large datasets.