The Fundamental Statistics Theorem Revisited
In this article, we revisit the most fundamental statistics theorem, talking in layman terms. We investigate a special but interesting and useful case, that is not discus...
Home » You searched for Data Science Central
Search Results for: Data Science Central
Nate Silver Unskewing Election Polls In Trump’s Direction
This article was written by Ryan Grim. Ryan is the Washington bureau chief for The Huffington Post and an MSNBC contributor. He is a former staff reporter with Politico....
Theano Tensors Explained in a Picture
Lately I’ve been doing some experiences with Theano and Deep Learning. One thing that I really thought could help is to understand the workflow of a Theano algorith...
Static & DYNAMICAL Machine Learning – What is the Difference?
In an earlier blog, “Need for DYNAMICAL Machine Learning: Bayesian exact recursive estimation”, I introduced the need for Dynamical ML as we now enter the “Walk�...
Adopting Self-Service BI with Tableau – Notes from the field
Part 1. Business scenarios. I have spent many hours planning and executing in-company self-service BI implementation. This enabled me to gain several insights. Now that t...
k-nearest neighbor algorithm using Python
This article was written by Natasha Latysheva. Here we publish a short version, with references to full source code in the original article. Our internal data scienti...
Impala vs Hive: Difference between Sql on Hadoop components
This article is no longer available. We apologize for the inconvenience. To read more about Impala versus Hive, click here for Impala, and click here for Hive....
Storytelling in Social Media Analytics: Beyond the Bar Chart II
In marketing, everybody talks about telling stories. Stories about audiences. Stories about ad concepts. Stories about brands … and about consumers who use them. Analys...
Which jobs will AI (Artificial Intelligence) kill?
Guest blog post by Vincent Granville AI was very popular 30 years ago, then disappeared, and is now making a big come back because of new robotic technolo...
ADAPTIVE Machine Learning
Machine Learning today tends to be “open-loop” – collect tons of data offline, process them in batches and generate insights for eventual action. There is an emergi...