Machine learning is transforming various industries by enabling more accurate predictions, automating decision-making processes, and uncovering insights from large and complex datasets.
Data: The foundation of machine learning. Data can be in various forms, such as structured (tables, databases), unstructured (text, images), and semi-structured (JSON, XML).
Algorithms: Mathematical models that learn from data. Common algorithms include linear regression, decision trees, support vector machines, neural networks, and clustering algorithms.
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