Forecasting: principles and practice [Rob J Hyndman, George Athanasopoulos] on Amazon.com. *FREE* shipping on qualifying offers. Forecasting is required in many situations. Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved
by Joseph Rickert One of the remarkable features of the R language is its adaptability. Motivated by R’s popularity and helped by R’s expressive power and transparency developers working on other platforms display what looks like inexhaustible creativity in providing seamless interfaces to software that complements R’s strengths. The H2O R package that connects to 0xdata’s H2O software (Apache 2.0 License) is an example of this kind of creativity. According to the 0xdata website, H2O is “The Open Source In-Memory, Prediction Engine for Big Data Science”. Indeed, H2O offers an impressive array of machine learning algorithms. The H2O R package...
After a few months of testing we present OpenCPU versions 1.3 and 1.4. These releases do not introduce any major changes in the OpenCPU HTTP API but focus entirely on performance, reliability and security to support long running servers.
I’m pleased to announce that a rewrite of my first chapter of “Modeling Data With Functional Programming In R” is available in draft format. Most of the feedback of the previous version centered around accessibility and practicality of the material.
This post shares the video from the talk presented in 2014 by Eu Jin Lok on mining tweets with R presented at Melbourne R Users. Twitter is currently ranked in the top 10 for most-visited website, and averaging 500 million tweets a day.