Lecture

Supervised Learning Intro: MaxL Efficiency

In course

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Description

This lecture introduces the concept of supervised learning efficiency, focusing on the Maximum Likelihood Estimation (MaxL) and unbiased estimators. Topics covered include asymptotically unbiased estimators, large sample properties, and the calculation of Mean Square Error (MSE). The instructor explains the importance of unbiased estimators in large datasets and their role in achieving accurate predictions.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_5bcxf37k

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis

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