Si resides en Peru y piensas viajar a Japón, esta entrada te sera muy util.

Gibbs Sampling converges slowly and generates samples too correlated MH produces not so correlated samples MH applies rejection an...

I'll be using examples from https://www.youtube.com/watch?v=a_08GKWHFWo https://wiseodd.github.io/techblog/2015/10/09/gibbs-sampl...

Before we get into the meat of the subject, let's breakdown the term Markov Chain Monte Carlo (MCMC) into its basic components...

Sampling from a Distribution - Rejection Sampling The main idea behind this method is that if we're trying to sample from a dist...

A Random forest is a variation of the bagged trees , which usually have better performance: Exactly as in bagging , we created an e...

Part 1: Ensembling Ensemble learning or ensembling is the process of combining several predictive models to produce a combined mode...

Here I review decision trees because they are super common in competitions. A decision tree can be used for regression and classifica...

Here I write about GMMs because it's a method of clustering that serves as a basis for more advanced concepts.

The explanation for Gaussian Processes from CS229 Notes is the best I found and understood http://cs229.stanford.edu/section/cs229-gau...

Kernels provide a bridge between linearity and non-linearity. If an algorithm can be expressed only in terms of a inner product between tw...

Here I cover the bayesian approach for linear regression and how bayes is used to implement predictors.

En estas notas se realizan pruebas con la estructura de datos "Series".

En estas notas hago pruebas con la estructura de datos DataFrame.

This is the final part of what I've learned from I Heart Stats: Learning to Love Statistics about Inferential Statistics.

Learning some ML approaches based on probability theory, here are my notes on learning about Maximum A Posteriori (MAP) .

Some stuff learned from I Heart Stats: Learning to Love Statistics about Inferential Statistics.

Un breve resumen de estadística descriptiva a partir de lo que voy aprendiendo del curso de edX, I Heart Stats: Learning to Love Statistics ...

Si alguna vez te preguntaste que es el CPC y como se calcula esto te será muy útil.

Content is the most important component to consider in a website, and here I describe some features it must have.