Maximum Likelihood Estimate Lecture

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Carleton Artificial Intelligence Society (CAIS)

Maximum Likelihood Estimate Lecture

In this lecture, we will introduce Maximum Likelihood Estimation (MLE), a density estimation method in machine learning. We will discuss what learning problems can be solved using Maximum Likelihood Estimation. In addition, we will derive the Maximum Likelihood Estimate of three very popular probability distributions: Bernoulli distribution, univariate Gaussian distribution and multivariate Gaussian distribution. We will also touch on interesting related concepts and ideas such as Central Limit theorem, the Bias-Variance dilemma and Hoeffding’s inequality.

Download the slides here.

Watch the Recording

To register for this event please visit the following URL: https://carletonai.com/?post_type=mep_events&p=786 →

 

Date And Time

Sunday, October 11, 2020 06:00 PM to
08:00 PM
 

Location

Online Event
 

Venue

MS Teams Live
 

Event Types

Lectures
 

Event Category

Lectures

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