.

__Bayesian Machine Learning (part-8)__

__Mean Field Approximation__

Have you ever asked a question, why do we need to calculate the exact Posterior distribution ?

To understand the answer the above question, let us go to -

__Back…__

Added by Ashutosh vyas on April 11, 2020 at 11:00am — No Comments

__Bayesian Machine Learning (__**part -7 )**

__Expectation-Maximization : A solved Example__

I have covered the theoretical part of EM algorithm in my previous posts. For reference below are the links:…

ContinueAdded by Ashutosh vyas on October 11, 2019 at 5:17am — No Comments

__Bayesian Machine Learning (__**part -6 )**

__Probabilistic Clustering – Gaussian Mixture Model__

Continuing our discussion on probabilistically clustering of our data, where we left out discussion on part 4 of our Bayesian inference series. As we have seen the modelling theory of…

ContinueAdded by Ashutosh vyas on September 25, 2019 at 9:30am — No Comments

__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…

Added by Ashutosh vyas on September 7, 2019 at 11:42pm — No Comments

__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…

ContinueAdded by Ashutosh vyas on August 16, 2019 at 8:34am — No Comments

__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:…

ContinueAdded by Ashutosh vyas on July 13, 2019 at 3:28am — No Comments

__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…

ContinueAdded by Ashutosh vyas on June 29, 2019 at 7:53am — 1 Comment

**Bayesian Machine Learning (****part - 1****)**

**Introduction**

As a data scientist, I am curious about knowing different analytical processes from a probabilistic point of view. There are two most popular ways…

ContinueAdded by Ashutosh vyas on June 20, 2019 at 10:30pm — 1 Comment

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