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what is machine leanring
Machine learning is a field of artificial intelligence that enables computers to learn patterns from data, evolving from early statistical methods to modern deep learning techniques. It encompasses various types—supervised, unsupervised, semi‑supervised, reinforcement, and deep learning—each suited to different problem domains and algorithm families.
- Definition: algorithms that improve performance on a task through experience with data.
- History: from early perceptrons and statistical models to neural networks, support vector machines, and today’s large‑scale deep learning.
- Types: supervised (labelled data), unsupervised (discovering structure), semi‑supervised, reinforcement (learning via rewards), and deep learning (multi‑layer neural nets).
- Core algorithms: linear/regression, decision trees, k‑means clustering, Q‑learning, convolutional and recurrent neural networks.
- Applications span image/video analysis, natural language processing, recommendation systems, and autonomous control.
Why Use Ensemble Methods? And How Do They Work?