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Christian Schitton liked Ashutosh vyas's blog post Bayesian Machine Learning
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Ashutosh vyas's blog post was featured

Bayesian Machine Learning

Bayesian Machine Learning (part - 4)IntroductionIn the previous post we have learnt about the importance of Latent Variables in Bayesian modelling. Now starting from this post, we will see Bayesian in action. We will walk through different aspects of machine learning and see how Bayesian methods will help us in designing the solutions. And also the additional capabilities and insights we can have by using it. The sections which follows are generally known as Bayesian inference. In this post we…See More
Sunday
Ashutosh vyas's blog post was featured

Bayesian Machine Learning

Bayesian Machine Learning (part - 3) Bayesian ModellingIn 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:So, let us first understand the construction of the above model:when there is an arrow pointing from one node to another, that implies start nodes causes end…See More
Jul 18
Sandrine FAVIER liked Ashutosh vyas's blog post Bayesian Machine Learning
Jul 2
Nisha Dhiman commented on Ashutosh vyas's blog post Bayesian Machine Learning
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Jul 1
Ashutosh vyas posted a blog post

Bayesian Machine Learning

Bayesian Machine Learning (part - 2) Bayesian Way Of Linear RegressionNow 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 mathematically.Yj = ∑i  wj* Xij Where i is the dimensionality of the data X. j represents the index of input data X. wi    are the weights of the linear regression model. Yj   is the corresponding output for Xj .Let us see with an example, how our…See More
Jun 29
Ashutosh vyas posted a blog post

Bayesian Machine Learning

Bayesian Machine Learning (part - 1)IntroductionAs a data scientist, I am curious about knowing different analytical processes from a probabilistic point of view.  There are two most popular ways of looking into any event, namely Bayesian and Frequentist  . When Frequentist researchers look at any event from frequency of occurrence, Bayesian researchers focus more on probability of events happening.   i am starting this series of blog posts to illustrate the Bayesian methods of performing…See More
Jun 23

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Working in data science domain from last 4 years and has a masters in data science as major
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http://https://www.linkedin.com/feed/?trk=hb_signin
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Data Science, Machine Learning, Deep Learning, IoT
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Manager
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4
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Mphasis next labs
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It
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Senior data scientist l manager
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Web scrolling
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Contributing, Networking, Finding a new position, New venture, Other
What is your Favorite Data Mining or Analytical Website?
http://https://www.kdnuggets.com

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Ashutosh vyas's Blog

Bayesian Machine Learning

Posted on August 16, 2019 at 8:34am 0 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…

Continue

Bayesian Machine Learning

Posted on July 13, 2019 at 3:28am 0 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:…

Continue

Bayesian Machine Learning

Posted on June 29, 2019 at 7:53am 1 Comment

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…

Continue

Bayesian Machine Learning

Posted on June 20, 2019 at 10:30pm 0 Comments

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…

Continue
 
 
 

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