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…

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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

Practical Machine Learning with R and Python – Part 2.

(This article was first published on R – Giga thoughts …, and kindly contributed to R-bloggers) In this 2nd part of the series “Practical Machine Learning with R and Python – Part 2”, I continue where I left off in my first post Practical Machine Learning with R and Python – Part 2. In this post…

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Practical Machine Learning with R and Python – Part 1

(This article was first published on R – Giga thoughts …, and kindly contributed to R-bloggers) Introduction This is the 1st part of a series of posts I intend to write on some common Machine Learning Algorithms in R and Python. In this first part I cover the following Machine Learning Algorithms Univariate Regression Multivariate…

via Practical Machine Learning with R and Python – Part 1 — R-bloggers

Using regression trees for forecasting double-seasonal time series with trend in R

(This article was first published on Peter Laurinec, and kindly contributed to R-bloggers) After blogging break caused by writing research papers, I managed to secure time to write something new about time series forecasting. This time I want to share with you my experiences with seasonal-trend time series forecasting using simple regression trees. Classification and…

via Using regression trees for forecasting double-seasonal time series with trend in R — R-bloggers

FORMACIÓN EN BIG DATA Y DATA SCIENCE ON LINE | UNED

 

El Curso pretende mostrar la realidad que imponen las nuevas tecnologías en todos los sectores económicos y dar respuestas a su transformación digital.

De tal forma, a medida que el estudiante se matricule y supere los módulos (todos los módulos tienen una carga lectiva de 5 créditos ECTS) irá obteniendo las diferentes titulaciones.

El curso de formación se estructura de manera modular obteniendo, en función de los créditos cursados por los estudiantes, el “Diploma de Experto”, el “Diploma de Especialización” y, finalmente, el “Master”, por la Universidad Nacional de Educación a Distancia (UNED).

Mas información en :

http://www.masterbigdataonline.com/index.php

Estadística y Machine Learning con R

Introducción

Capítulo I: Modelo lineal general.

Capítulo II: Extensiones al modelo de regresión lineal

Capítulo III: Modelos con Variables Cualitativas

Capítulo IV: Métodos de clasificación

Capítulo V: Agrupación de la información

Capítulo VI: Inferencia no parámetrica

Bilbliografía