Blogging Tips: Distributed system

Showing posts with label Distributed system. Show all posts

Lambda Architecture Principles

"Lambda Architecture" (introduced by Nathan Marz) has gained a lot of traction recently. Fundamentally, it is a set of design pat...

Reinforcement Learning (RL) is a type of Machine Learning other than "supervised learning" (having a teaching phase that shows the...

Linear Model is a family of model-based learning approaches that assume the output y can be expressed as a linear algebraic relation with th...

This is the simplest technique for instance based learning. Basically, find a previous seen data that is "closest" to the query da...

Probabilistic model is a very popular approach of �model-based learning� based on Bayesian theory. Under this approach, all input attribute...

As more and more user data are gathered on different web sites (such as e-commerce, social network), data mining / machine learning techniqu...

As explain in my CouchDB implementation notes , the current replication mechanism doesn't provide consistency guarantees. This means if...

Here we explore the consistency aspect of a distributed storage model. The motivation of using a distributed storage is for scalability, fa...