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

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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

Optimal Portfolios, or sort of…

Last week, we got our first class on portfolio optimization. We’ve seen Markowitz’s theory where expected returns and the covariance matrix are given, > download.file(url=”http://freakonometrics.free.fr/portfolio.r”,destfile = “portfolio.r”) > source(“portfolio.r”) > library(zoo) > library(FRAPO) > library(IntroCompFinR) > library(rrcov) > data( StockIndex ) > pzoo = zoo ( StockIndex , order.by = rownames ( StockIndex ) )…

via Optimal Portfolios, or sort of… — Freakonometrics

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