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Posted on September 7, 2019 at 11:42pm 0 Comments 0 Likes
Bayesian Machine Learning (part -5)
Introduction: Expectation-Maximization
In this blog we are going to see how Expectation-maximization algorithm works very closely. This blog is in strict continuation of the previous blog. Previously we saw how…
ContinuePosted on August 16, 2019 at 8:34am 0 Comments 0 Likes
Bayesian Machine Learning (part - 4)
Introduction
In the previous post we have learnt about the importance of Latent Variables in Bayesian modelling. Now starting from…
ContinuePosted on July 13, 2019 at 3:28am 0 Comments 0 Likes
Bayesian Machine Learning (part - 3)
Bayesian Modelling
In this post we will see the methodology of building Bayesian models. In my previous post I used a Bayesian model for linear regression. The model looks like:…
ContinuePosted on June 29, 2019 at 7:53am 1 Comment 2 Likes
Bayesian Machine Learning (part - 2)
Bayesian Way Of Linear Regression
Now that we have an understanding of Baye’s Rule, we will move ahead and try to use it to analyze linear regression models. To start with let us first define linear regression model…
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