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Machine Learning Basics and Techniques by salunkeganesh098 is a document available to read on EtoBox.

What is Machine Learning Basics and Techniques about?

The document provides an overview of machine learning, defining it as a subset of artificial intelligence that allows systems to learn from data. It categorizes machine learning into four main types: supervised, unsupervised, reinforcement, and semi-supervised/self-supervised learning, each with its own goals and examples. Additionally, it outlines key techniques used in machine learning, such as regression, classification, clustering, and neural networks.

Author

salunkeganesh098

Language

EN