Machine Learning (ML)

Simple Definition for Beginners:

Machine learning is a type of technology where computers learn from data and improve their performance over time without being explicitly programmed.

Common Use Example:

An e-commerce website uses machine learning to recommend products to customers based on their browsing history, past purchases, and preferences.

Technical Definition for Professionals:

Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to perform tasks by learning from and making predictions or decisions based on data. ML involves training models on large datasets, enabling them to recognize patterns, classify data, and make informed predictions. Key techniques in ML include supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. ML applications span various fields, including natural language processing, image and speech recognition, recommendation systems, predictive analytics, and autonomous systems.