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Auto-Encoding Variational Bayes

Variational Inference I realized there is a lack of educational resources that concentrate on the theory of variational inference in this platform. If you’re interested in the math behind variational inference, or more generally speaking probabilistic programming, you may find this post useful. According to Bayes rule, where…

Variational Autoencoder

5 min read

Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes

Published in Geek Culture

·Aug 23, 2021

Support Vector Machine (SVM) Classification

SVM’s are appropriate for the classification of complex but small-to-medium sized datasets. The goal is to find a hyperplane that maximizes the margin (the distance between hyperplane and the closest data point) between 2 classes under the constraint that all data points lie on the correct side of the hyperplane. …

9 min read

Support Vector Machine (SVM) Classification
Support Vector Machine (SVM) Classification
Andac Demir

Andac Demir

PhD in Machine Learning at Northeastern University

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