R 3.5.0 is released! (major release with many new features) — R-bloggers

(This article was first published on R – R-statistics blog, and kindly contributed to R-bloggers) R 3.5.0 (codename “Joy in Playing”) was released yesterday. You can get the latest binaries version from here. (or the .tar.gz source code from here). This is a major release with many new features and bug fixes, the full list is provided below. Upgrading…

via R 3.5.0 is released! (major release with many new features) — R-bloggers

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Regression Analysis Essentials For Machine Learning

(This article was first published on Easy Guides, and kindly contributed to R-bloggers) Regression analysis consists of a set of machine learning methods that allow us to predict a continuous outcome variable (y) based on the value of one or multiple predictor variables (x). Briefly, the goal of regression model is to build a mathematical…

via Regression Analysis Essentials For Machine Learning — R-bloggers

R 3.4.4 released

(This article was first published on Revolutions, and kindly contributed to R-bloggers) R 3.4.4 has been released, and binaries for Windows, Mac, Linux and now available for download on CRAN. This update (codenamed “Someone to Lean On” — likely a Peanuts reference, though I couldn’t find which one with a quick search) is a minor…

via R 3.4.4 released — R-bloggers

Machine Learning in R with TensorFlow — R-bloggers

(This article was first published on Revolutions, and kindly contributed to R-bloggers) Modern machine learning platforms like Tensorflow have to date been used mainly by the computer science crowd, for applications like computer vision and language understanding. But as JJ Allaire pointed out in his keynote at the RStudio conference earlier this month (embedded below),…

via Machine Learning in R with TensorFlow — R-bloggers

Forecasting Techniques for Demographics

Tomorrow, we will discuss in our cours forecasting tools for demographics. But first, we will see basic static tools. Before playing with longitudinal dataset, let us use “standard” life tables. Some (French) datasets are available on the INED website, but let us use the most popular ones, the TV8890 and TD8890. Those two tables can…

via Forecasting Techniques for Demographics — Freakonometrics

Modelizar el consumo eléctrico

A partir de nos prévisions pour la température, on peut tenter de prévoir la consommation électrique. Rappelons que la série de consommation électrique ressemble à ca plot(electricite[passe,”Load”],type=”l”) On peut tenter un modèle assez simple, où la consommation à la date Y_t est fonction d’une tendance linéaire a+bt, de la position dans l’année (sous une forme…

via Modéliser la consommation électrique — Freakonometrics