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Pat Patterson liked Ashutosh vyas's blog post Bayesian Machine Learning
May 1
Pat Patterson commented on Ashutosh vyas's blog post Bayesian Machine Learning
"Great stuff, but the mathematician's name is Bayes, so it's Bayes' Rule, not Baye's Rule."
May 1
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Apr 16
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Apr 13
Ashutosh vyas posted a blog post

Bayesian Machine Learning (Part 8)

Bayesian Machine Learning (part-8)Mean Field ApproximationHave 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 to the Basics !To understand the answer of the above question, I would like you to re-visit our basic Baye’s rule.Posterior =  (Likelihood x Prior) / EvidenceNow to compute the Posterior we have following issues:If prior is conjugate to likelihood, it is easy to compute the…See More
Apr 13
Ashutosh vyas's blog post was featured

Bayesian Machine Learning (Part 8)

Bayesian Machine Learning (part-8)Mean Field ApproximationHave 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 to the Basics !To understand the answer of the above question, I would like you to re-visit our basic Baye’s rule.Posterior =  (Likelihood x Prior) / EvidenceNow to compute the Posterior we have following issues:If prior is conjugate to likelihood, it is easy to compute the…See More
Apr 12
Christian Schitton liked Ashutosh vyas's blog post Bayesian Machine Learning
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Dec 2, 2019
EDDISON HAYDEN LEWIS liked Ashutosh vyas's blog post Bayesian Machine Learning Part 5
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Oct 16, 2019
Ashutosh vyas's blog post was featured

Bayesian Machine Learning

Bayesian Machine Learning (part -7)Expectation-Maximization : A solved ExampleI have covered the theoretical part of EM algorithm in my previous posts. For reference below are the links:Part 4 ,Part 5 ,…See More
Oct 11, 2019
Ashutosh vyas's blog post was featured

Bayesian Machine Learning

Bayesian Machine Learning (part -6)Probabilistic Clustering – Gaussian Mixture ModelContinuing 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 Expectation – Maximization algorithm in part-5, its time to implement it.So, let’s start!!!For a better revision, please follow the link  :…See More
Sep 25, 2019
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Sep 11, 2019

Profile Information

Company:
Mphasis next labs
Job Title:
Senior data scientist l manager
Seniority:
Manager
Job Function:
Data Science, Machine Learning, Deep Learning, IoT
Industry:
It
Short Bio:
Working in data science domain from last 4 years and has a masters in data science as major
LinkedIn Profile:
http://https://www.linkedin.com/feed/?trk=hb_signin
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Contributing, Networking, Finding a new position, New venture, Other

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Ashutosh vyas's Blog

Bayesian Machine Learning (Part 8)

Posted on April 11, 2020 at 11:00am 0 Comments

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…

Continue

Bayesian Machine Learning

Posted on October 11, 2019 at 5:17am 0 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:…

Continue

Bayesian Machine Learning

Posted on September 25, 2019 at 9:30am 0 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…

Continue

Bayesian Machine Learning Part 5

Posted on September 7, 2019 at 11:42pm 0 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…

Continue
 
 
 

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