In this article, we discuss a general framework to drastically reduce the influence of outliers in most contexts. It applies to problems such as clustering (finding centr...
I routinely study differences in production between years by charting the data on the same graph. I consider this a popular approach. It makes sense since there is often ...
By David Robinson. David Robinson is a data scientist at Stack Overflow. His article (parts of it) was re-posted in the Washington Post, here. This is also a short versi...
By Rubens Zimbres. Rubens is a Data Scientist, PhD in Business Administration, developing Machine Learning, Deep Learning, NLP and AI models using R, Python and Wolfram ...
This article was written by Stephanie and Tony on R2D3. In machine learning, computers apply statistical learning techniques to automatically identify patterns in dat...
It has become clear over the last few months that mainstream media on both sides are stretching the truth, if not reporting fake stories first published in outlets such a...
Top 10 Commercial Hadoop Platforms Hadoop, the software framework which provides the necessary tools to carry out Big Data analysis, is widely used in industry and comm...
This post was written by Sean Owen. Data scientists have hundreds of probability distributions from which to choose. Where to start? Data science, whatever it may be, r...
This article was written by Kris Hammond. This is an invitation to collaborate. In particular, it is an invitation to collaborate in framing how we look at and develop m...
This article was posted by Arpan Gupta (Indian Institute of Technology). Let’s learn from a precise demo on Fitting Logistic Regression on Titanic Data Set for Machine ...