This article was written by Sanjib Sharma.
Markov Chain Monte Carlo based Bayesian data analysis has now become the method of choice for analyzing and interpreting data in almost all disciplines of science. In astronomy, over the last decade, we have also seen a steady increase in the number of papers that employ Monte Carlo…Continue
Added by Andrea Manero-Bastin on January 6, 2021 at 11:50am — No Comments
Imagine you are a company selling a fast-moving consumer good in the market.
Now, how to find out in which state the customers would be after 6…Continue
In this article, a semi-supervised classification algorithm implementation will be described using Markov Chains and Random Walks. We have the following 2D circles dataset (with 1000 points) with only 2 points labeled (as shown in the figure, colored red and blue respectively, for all others the labels are unknown, indicated by the…Continue
Leonard Baum and Lloyd Welch designed a probabilistic modelling algorithm to detect patterns in Hidden Markov Processes. They built upon the theory of probabilistic functions of a …Continue
One important goal of data science is to help decision makers make better decisions. Markov…Continue
Natural language processing (NLP) involves machine learning, artificial intelligence, algorithms and linguistics related to interactions between computers and human languages. One important goal…Continue
Added by Michael Walker on August 20, 2013 at 7:27pm — No Comments