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Maximum Likelihood Estimation in CCS by justmuslim2021 is a document available to read on EtoBox.

What is Maximum Likelihood Estimation in CCS about?

This document is a lecture on Parameter Estimation in Computational Cognitive Science, focusing on Maximum Likelihood Estimation (MLE). It outlines the need to minimize error between data and models, introduces competing approaches like least-squares and MLE, and mentions that Bayesian statistics will be discussed later. Additionally, it indicates that a revision of basic probability is necessary for understanding MLE and Bayesian statistics.

Author

justmuslim2021

Language

EN