Unsupervised Learning: Expectation Maximization Algorithm

Expectation Maximization (EM) algorithm as implemented in Unsupervised Learning for data clustering will be explained in simple terms. An EM implementation running in Jupyter Notebook will be demoed taking unlabeled data as input, perform the EM clustering logic, and the resulting data clusters are shown graphically.

Date

Mar 30 2022
Expired!

Time

11:30 am - 12:15 pm
Category
Amir Bahmanyari | Advisory Systems Engineer | Dell Technologies

Speaker

Amir Bahmanyari | Advisory Systems Engineer | Dell Technologies
Email
Amir_Bahmanyari@Dell.com
Website
https://www.linkedin.com/in/amir-bahmanyari/

Other Presenters

Mark Thomas | Data Analytics | Dell Technologies
Mark Thomas | Data Analytics | Dell Technologies

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