Definition of Machine Learning
A type of artificial intelligence that allows software applications to become more accurate at predicting outcomes without being explicitly programmed.
Explanation of Machine Learning
Machine learning is a subset of artificial intelligence (AI) that involves the use of algorithms and statistical models to enable computers to learn from and make predictions or decisions based on data. Unlike traditional programming, where specific instructions are given to perform tasks, machine learning allows systems to improve their performance over time through experience. Machine learning applications are widely used in various industries, including marketing, finance, healthcare, and technology. Examples include recommendation systems, fraud detection, image recognition, and natural language processing. Machine learning models are trained on large datasets, which allow them to identify patterns, make predictions, and adapt to new information. The process involves selecting appropriate algorithms, training the models, validating their accuracy, and refining them based on feedback. Effective use of machine learning requires a solid understanding of data, statistical methods, and computational techniques. By leveraging machine learning, businesses can enhance decision-making, automate processes, and create more personalized and efficient solutions.