# ### Bayesian Machine Learning (Part 8)

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 -

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

### Bayesian Machine Learning

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:…

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

### Bayesian Machine Learning

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…

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

### Bayesian Machine Learning Part 5

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…

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

### Bayesian Machine Learning

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…

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

### Bayesian Machine Learning

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:…

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

### Bayesian Machine Learning

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

### Bayesian Machine Learning

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…

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

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