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Mapping Machine Learning Tasks by Himanshu Nimje is a document available to read on EtoBox.

What is Mapping Machine Learning Tasks about?

The document provides an overview of machine learning model building and categorizes machine learning algorithms into different groups based on learning style and similarity of function. It discusses supervised, unsupervised, and semi-supervised learning and provides examples of popular algorithms for regression, instance-based learning, regularization, decision trees, Bayesian methods, clustering, association rule learning, and artificial neural networks. The goal is to help understand different algorithm

Author

Himanshu Nimje

Language

EN