.

__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

- 11 data science skills for machine learning and AI
- Get started on AWS with this developer tutorial for beginners
- Microsoft, Zoom gain UCaaS market share as Cisco loses
- Develop 5G ecosystems for connectivity in the remote work era
- Choose between Microsoft Teams vs. Zoom for conference needs
- How to prepare networks for the return to office
- Qlik keeps focus on real-time, actionable analytics
- Data scientist job outlook in post-pandemic world
- 10 big data challenges and how to address them
- 6 essential big data best practices for businesses
- Hadoop vs. Spark: Comparing the two big data frameworks
- With accelerated digital transformation, less is more
- 4 IoT connectivity challenges and strategies to tackle them

Posted 10 May 2021

© 2021 TechTarget, Inc. Powered by

Badges | Report an Issue | Privacy Policy | Terms of Service

**Most Popular Content on DSC**

To not miss this type of content in the future, subscribe to our newsletter.

- Book: Applied Stochastic Processes
- Long-range Correlations in Time Series: Modeling, Testing, Case Study
- How to Automatically Determine the Number of Clusters in your Data
- New Machine Learning Cheat Sheet | Old one
- Confidence Intervals Without Pain - With Resampling
- Advanced Machine Learning with Basic Excel
- New Perspectives on Statistical Distributions and Deep Learning
- Fascinating New Results in the Theory of Randomness
- Fast Combinatorial Feature Selection

**Other popular resources**

- Comprehensive Repository of Data Science and ML Resources
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- 100 Data Science Interview Questions and Answers
- Cheat Sheets | Curated Articles | Search | Jobs | Courses
- Post a Blog | Forum Questions | Books | Salaries | News

**Archives:** 2008-2014 |
2015-2016 |
2017-2019 |
Book 1 |
Book 2 |
More

**Most popular articles**

- Free Book and Resources for DSC Members
- New Perspectives on Statistical Distributions and Deep Learning
- Time series, Growth Modeling and Data Science Wizardy
- Statistical Concepts Explained in Simple English
- Machine Learning Concepts Explained in One Picture
- Comprehensive Repository of Data Science and ML Resources
- Advanced Machine Learning with Basic Excel
- Difference between ML, Data Science, AI, Deep Learning, and Statistics
- Selected Business Analytics, Data Science and ML articles
- How to Automatically Determine the Number of Clusters in your Data
- Fascinating New Results in the Theory of Randomness
- Hire a Data Scientist | Search DSC | Find a Job
- Post a Blog | Forum Questions