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

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Estadística y Machine Learning con R

 

Estadística y Machine Learning con R recopila apuntes y materiales utilizados en la docencia de cursos de formación para funcionarios sobre estadística para administraciones públicas y estadística con R, y otros materiales utilizados en la docencia de Econometría. El manual ha sido elaborado exclusivamente con R, utilizando las librerias knitr, markdown y bookdown, que permiten editar y compilar documentos en diferentes formatos.

Estadística y Machine Learning con R

 

Aprendizaje Profundo: una Guía rápida

Explicando Deep Learning y Redes Neuronales -sin código- Intentaré explicar brevemente en qué consiste el Deep Learning ó Aprendizaje Profundo utilizado en Machine Learning describiendo sus componentes básicos. Conocimientos Previos Daré por sentado que el lector ya conoce la definición de Machine Learning y sus principales aplicaciones en el mundo real y el panorama de algoritmos…

via Aprendizaje Profundo: una Guía rápida — Aprende Machine Learning

Practical Machine Learning with R and Python – Part 6

(This article was first published on R – Giga thoughts …, and kindly contributed to R-bloggers) Introduction This is the final and concluding part of my series on ‘Practical Machine Learning with R and Python’. In this series I included the implementations of the most common Machine Learning algorithms in R and Python. The algorithms…

via Practical Machine Learning with R and Python – Part 6 — R-bloggers

Practical Machine Learning with R and Python – Part 5

(This article was first published on R – Giga thoughts …, and kindly contributed to R-bloggers) This is the 5th and probably penultimate part of my series on ‘Practical Machine Learning with R and Python’. The earlier parts of this series included 1. Practical Machine Learning with R and Python – Part 1 In this initial…

via Practical Machine Learning with R and Python – Part 5 — R-bloggers

Data Science Live Book (open source)

(This article was first published on R – Data Science Heroes Blog, and kindly contributed to R-bloggers) Well after some time, and +300 commits, this is the biggest release of the Data Science Live Book! (open source), after the first publication more than 1 year ago tl;dr: Hi there! I invite you to read the…

via Data Science Live Book (open source) ~ new big release! 200-pages — R-bloggers

Ensemble learning for time series forecasting in R

(This article was first published on Peter Laurinec, and kindly contributed to R-bloggers) Ensemble learning methods are widely used nowadays for its predictive performance improvement. Ensemble learning combines multiple predictions (forecasts) from one or multiple methods to overcome accuracy of simple prediction and to avoid possible overfit. In the domain of time series forecasting, we…

via Ensemble learning for time series forecasting in R — R-bloggers