This post is a summary of 3 different posts about outlier detection methods. One of the challenges in data analysis in general and predictive modeling in particular is ...
By: Abdul Razack, SVP & head of platforms, big data and analytics at Infosys Artificial intelligence is rapidly changing the business and consumer landscape, but has...
Interesting to read what some statisticians write about data science, on the American Statistical Association (ASA) blog. Most of us don’t care about our job title...
This blog was originally published on my website. If you have ever competed in a Kaggle competition, you are probably familiar with the use of combining different predi...
Python, R and SAS are the three most popular languages in data science. If you are new to the world of data science and aren’t experienced in either of these languages...
Most people think data science is smart people doing very smart stuff. Well that’s not it. Data science is just another subject involving its own bit of subtle complexi...
Summary: If you want to capitalize on all the amazing advancements in data science take a look at these two hot growth areas for IoT. It’s likely that these wil...
There is no denying it – we live in The Age of the Customer. Consumers all over the world are now digitally empowered, and they have the means to decide which businesse...
Try the new non-blocking http API in curl 2.1: R sitemap example, Jeroen Ooms, 2016 This code demonstrates the new multi-request features in curl 2.0. It creates an inde...
Originally posted on Data Science Central Things, not Strings Entity-centric views on enterprise information and all kinds of data sources provide means to get a mor...