MLE Explained: Intuition & Basics 📊
Learn how Maximum Likelihood Estimation (MLE) finds the best model parameters by maximizing likelihood or log-likelihood.
IntuitiveML
46.9K views • Sep 27, 2020
About this video
Maximum Likelihood Estimation maximizes the likelihood (or the log-likelihood) to find the best values for our model’s parameters.
More videos: https://www.patreon.com/intuitiveml
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____________________
Learn more:
Wiki: https://en.wikipedia.org/wiki/Maximum_likelihood_estimation
Nice Graphs: https://towardsdatascience.com/probability-concepts-explained-maximum-likelihood-estimation-c7b4342fdbb1
Chapters:
00:00 Intro
00:11 What is MLE
01:18 Basic Graphical MLE
#IntuitiveML, #machinelearning, #statistics
More videos: https://www.patreon.com/intuitiveml
Follow:
Twitter: https://twitter.com/SentimOfficial
Facebook: https://www.facebook.com/SentimOfficial/
____________________
Learn more:
Wiki: https://en.wikipedia.org/wiki/Maximum_likelihood_estimation
Nice Graphs: https://towardsdatascience.com/probability-concepts-explained-maximum-likelihood-estimation-c7b4342fdbb1
Chapters:
00:00 Intro
00:11 What is MLE
01:18 Basic Graphical MLE
#IntuitiveML, #machinelearning, #statistics
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Video Information
Views
46.9K
Likes
765
Duration
1:56
Published
Sep 27, 2020
User Reviews
4.7
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