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Rel Guzman
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Gaussian Mixture Models Explained
Saturday, March 31, 2018
Here I write about GMMs because it's a method of clustering that serves as a basis for more advanced concepts.
Gaussian Processes Explained
Saturday, March 31, 2018
The explanation for Gaussian Processes from CS229 Notes is the best I found and understood http://cs229.stanford.edu/section/cs229-gau...
Kernel Functions Explained
Friday, March 30, 2018
Kernels provide a bridge between linearity and non-linearity. If an algorithm can be expressed only in terms of a inner product between tw...
Bayesian Linear Regression Explained
Friday, March 30, 2018
Here I cover the bayesian approach for linear regression and how bayes is used to implement predictors.
Usando El Tipo Series de Python Pandas
Wednesday, January 10, 2018
En estas notas se realizan pruebas con la estructura de datos "Series".
Usando El Tipo DataFrame de Python Pandas
Thursday, December 21, 2017
En estas notas hago pruebas con la estructura de datos DataFrame.
Reviewing Inferential Statistics - Part 2
Wednesday, December 13, 2017
This is the final part of what I've learned from I Heart Stats: Learning to Love Statistics about Inferential Statistics.
Learning the Maximum-A-Posteriori (MAP) Approach
Monday, December 04, 2017
Learning some ML approaches based on probability theory, here are my notes on learning about Maximum A Posteriori (MAP) .
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