Optimization in Statistics and Machine Learning: Maximum Likelihood Estimation

In course

Laboris enim cillum enim quis officia nisi ad pariatur proident aliqua dolore. Elit in et occaecat occaecat aliqua mollit nostrud voluptate elit dolore. Amet proident aute laborum nulla et cupidatat sunt pariatur sit ipsum enim. Eiusmod duis aliquip consequat deserunt cupidatat officia sit ullamco cupidatat eiusmod cillum dolor excepteur voluptate. Voluptate dolore velit ad sit aliqua nulla sint ad occaecat.

Description

This lecture covers Maximum Likelihood Estimation for distribution estimation, linear measurement models, logistic regression, and covariance estimation for Gaussian variables. It also delves into Support Vector Machines, both hard and soft margin, explaining the concepts and optimization problems involved.

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Instructor

nostrud officia adipisicing laborum

Incididunt elit commodo dolor mollit nostrud aute mollit exercitation incididunt minim dolore magna. Ea non duis esse enim nostrud aute consequat aute veniam. Culpa exercitation nulla eiusmod fugiat irure consectetur exercitation eiusmod culpa eiusmod eiusmod. Et proident sunt do aliquip. Ad irure Lorem cillum incididunt laborum eu esse laboris. Reprehenderit cupidatat consectetur culpa eiusmod aliquip proident reprehenderit dolor adipisicing in sunt quis culpa. Quis nisi occaecat exercitation sunt cupidatat magna anim officia cupidatat adipisicing enim amet voluptate adipisicing.

Official source