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IreneLi

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Category Archives: Machine Learning

Random Forest: intro and an example

About Decision Trees * All samples will start from the root. * At each node, one feature will split the samples.

Posted byIreneNovember 9, 2015May 21, 2016Posted inMachine LearningTags:Learning NoteLeave a comment on Random Forest: intro and an example

Understanding SVM(1)

About advanced machine learning:

Posted byIreneNovember 5, 2015September 13, 2016Posted inMachine LearningTags:Learning Note1 Comment on Understanding SVM(1)

Logistic Regression: a quick introduction

Logistic Regression is very popular in Machine Learning, used to give predictions on something. (It is not the exact probabilities, but general values. )

Posted byIreneOctober 25, 2015May 21, 2016Posted inMachine LearningTags:Learning NoteLeave a comment on Logistic Regression: a quick introduction

Sampling Methods

This post contains very basic knowledge of few sampling methods. As I am going to implement a java version of Gibbs Sampling, I went through some materials on the internet, and kept a learning journal here. Will learn more about Gibbs Sampling in few days, and I will focus on how it involves with GraphContinue reading “Sampling Methods”

Posted byIreneOctober 14, 2015May 21, 2016Posted inMachine LearningLeave a comment on Sampling Methods

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