Machine Learning

Machine Learning (ML) is a branch of artificial intelligence (AI) that focuses on developing systems that can learn from and adapt to data without being explicitly programmed. These systems use algorithms and statistical models to analyze and interpret complex data, identifying patterns and making decisions based on this analysis. ML encompasses a variety of techniques, including supervised learning, where models are trained on labeled data, and unsupervised learning, which involves finding hidden patterns in unlabeled data. The ability of ML to continuously improve and refine its performance over time makes it highly valuable in numerous applications, such as speech recognition, image processing, predictive analytics, and autonomous systems. As data continues to grow exponentially, ML’s role in technological advancements and everyday applications is becoming increasingly significant.