## Tag - Markov

### adam kelleher

The Data Processing Inequality If you look at the wikipedia article for the data processing inequality, it’s really just a stub (as of the time this article was published). The inequality is given, but there is little context. The data processing ine...

### Decision Modelling in R Workshop in The Netherlands!

Share Tweet The Decision Analysis in R for Technologies in Health (DARTH) workgroup is hosting a two-day workshop on decision analysis in R in Leiden, The Netherlands from June 7-8, 2018. A one-day introduction to R course will also be offered the da...

### Devin Soni

Introduction to Markov Chains What are Markov chains, when to use them, and how they work Markov chains are a fairly common, and relatively simple, way to statistically Scenario To begin, I will describe them with a very common example: Imagine that...

### Go, Marvin Minsky, and the Chasm that AI Hasn’t Yet Crossed

An exclusive inside look at how artificial intelligence and machine learning work at Apple On July 30, 2014, Siri had a brain transplant. Three years earlier, Apple had been the first major tech company to integrate a smart assistant into its operati...

### Introduction to Markov Chains

What are Markov chains, when to use them, and how they work comments By Devin Soni, Computer Science Student (Generated from http://setosa.io/ev/markov-chains/) Markov chains are a fairly common, and relatively simple, way to statistically model rand...

### NIMBLE package for hierarchical modeling (MCMC and more) faster and more flexible in version 0.6-1

NIMBLE version 0.6-1 has been released on CRAN and at  r-nimble.org.   NIMBLE is a system that allows you to: Write general hierarchical statistical models in BUGS code and create a corresponding model object to use in R. Build Markov chain Monte Car...

### Qualitative Data Science: Using RQDA to analyse interviews

Share Tweet Qualitative data science sounds like a contradiction in terms. Data scientists generally solve problems using numerical solutions. Even the analysis of text is reduced to a numerical problem using Markov chains, topic analysis, sentiment...

### Reinforcement Learning in R

161 SHARES Share Tweet Reinforcement learning has gained considerable traction as it mines real experiences with the help of trial-and-error learning to model decision-making. Thus, this approach attempts to imitate the fundamental method used by hum...

### riddles on a line [#2]

Share Tweet A second Riddle(r), with a puzzle related with the integer set Ð={,12,3,…,N}, in that it summarises as Given a random walk on Ð, starting at the middle N/2, with both end states being absorbing states, and a uniform random move left or ri...

### Steven Levy

An exclusive inside look at how artificial intelligence and machine learning work at Apple On July 30, 2014, Siri had a brain transplant. Three years earlier, Apple had been the first major tech company to integrate a smart assistant into its operati...