Developed by the USGS Texas Water Science Center, the user-friendly interface integrates the open-source dygraphs JavaScript charting library with hydrologic data…

Here is a nice summary of traditional machine learning methods, from Mathworks.

I also decided to add the following picture below, as it illustrates a method that was very popular 30 years ago but that seems to have been forgotten recently: mixture of Gaussian. In the example below, it is…

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcement…

Guest blog post by by Brian Back.

From the wide range of things you can do with D3, still one of the best things to make is the timeseries plot. In this post, I’ll walk through the basics of making a multi-column point plot/scatter plot. We’ll use a GISS dataset from NASA; dataset can be found …

Here is our selection of featured articles and resources posted since Monday.

• 25 Big Data Terms You Must Know To Impress Your Date
• Google releases massive visual databases for machine learning …

Most of the articles on extreme events are focusing on the extreme values. Very little has been written about the arrival times of these events. This article fills the gap. 

We are interested here in the distribution of arrival times of successive records in a time series, with potential applications to global warming assessment, sport analytics, or high frequency trading. The purpose here is to discover what the distribution of these arrival times is, in absence of any…

This cheat sheet, along with explanations, was first published on DataCamp. Click on the picture to zoom in. To view other cheat sheets (Python, R, Machine Learning, Probability, Visualizations, Deep Learning, Data Science, and so on) click here. 

To view a…