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Introduction to Machine Learning Concepts by anithasen13 is a document available to read on EtoBox.

Machine Learning (ML) is a subset of artificial intelligence that allows computers to learn from data and make predictions without explicit programming, with applications across various fields. It is categorized into supervised learning, unsupervised learning, and reinforcement learning, each with distinct characteristics and algorithms. Key models include parametric and non-parametric models, with examples such as linear regression, k-nearest neighbors, and support vector machines, each having advantages a

Author

anithasen13

Language

EN