# Tag: Markov Chains (11)

**Practical Markov Chain Monte Carlo**- Jun 26, 2020.

This is a slightly more intricate example of MCMC, compared to many with a fairly simple model, a single predictor (maybe two), and not much else, which highlights a couple of issues and tricks worth noting for a handwritten implementation.**A Comprehensive Guide to Natural Language Generation**- Jan 7, 2020.

Follow this overview of Natural Language Generation covering its applications in theory and practice. The evolution of NLG architecture is also described from simple gap-filling to dynamic document creation along with a summary of the most popular NLG models.**Markov Chains: How to Train Text Generation to Write Like George R. R. Martin**- Nov 29, 2019.

Read this article on training Markov chains to generate George R. R. Martin style text.**Explaining Reinforcement Learning: Active vs Passive**- Jun 26, 2018.

We examine the required elements to solve an RL problem, compare passive and active reinforcement learning, and review common active and passive RL techniques.**Top KDnuggets tweets, Apr 04-10: Introduction to Markov Chains**- Apr 11, 2018.

Also: 5 Things to Know About #MachineLearning; A "Weird" Intro to #DeepLearning; How Do I Get My First #DataScience Job?**5 Things You Need to Know about Reinforcement Learning**- Mar 28, 2018.

With the popularity of Reinforcement Learning continuing to grow, we take a look at five things you need to know about RL.**KDnuggets™ News 18:n12, Mar 21: Will GDPR Make Machine Learning Illegal?; 5 Things You Need to Know about Big Data**- Mar 21, 2018.

Also: A Beginner's Guide to Data Engineering - Part II; Introduction to Optimization with Genetic Algorithm; Introduction to Markov Chains; Your free 70-page guide to a career in data science**Introduction to Markov Chains**- Mar 15, 2018.

What are Markov chains, when to use them, and how they work**Top KDnuggets tweets, Mar 7-13: #MachineLearning Algorithms: Which One to Choose for Your Problem; Train Your ML Models on Google GPUs for Free**- Mar 15, 2018.

Also Introduction to Markov Chains; 18 Inspiring Women In #AI, #Analytics #BigData, #DataScience, #MachineLearning.**What Statistics Topics are Needed for Excelling at Data Science?**- Aug 2, 2016.

Here is a list of skills and statistical concepts suggested for excelling at data science, roughly in order of increasing complexity.**Top KDnuggets tweets, Aug 1-3: Open Source Data Science Masters plan**- Aug 4, 2014.

Open Source #DataScience Masters plan, with courses from Coursera, Stanford, edX; Book: Data Classification: Algorithms and Applications; Markov Chains, key #MachineLearning technique, nice visual explanation; Data Science with #Python: Part 1.