Archive | Understand Machine Learning Algorithms

Classification And Regression Trees for Machine Learning

Classification And Regression Trees for Machine Learning

Decision Trees are an important type of algorithm for predictive modeling machine learning. The classical decision tree algorithms have been around for decades and modern variations¬†like random forest are among the most powerful techniques available. In this post you will discover the humble decision tree algorithm known by it’s more modern name CART which stands […]

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Linear Discriminant Analysis for Machine Learning

Linear Discriminant Analysis for Machine Learning

Logistic regression is a classification algorithm traditionally limited to only two-class classification problems. If you have more than two classes then Linear Discriminant Analysis is the preferred linear classification technique. In this post you will discover the Linear Discriminant Analysis (LDA) algorithm for classification predictive modeling problems. After reading this post you will know: The […]

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Logistic Regression Tutorial for Machine Learning

Logistic Regression Tutorial for Machine Learning

Logistic regression is one of the most popular machine learning algorithms for binary classification. This is because it is a simple algorithm that performs very well on a wide range of problems. In this post you are going to discover the logistic regression algorithm for binary classification, step-by-step. After reading this post you will know: […]

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Linear Regression Tutorial Using Gradient Descent for Machine Learning

Linear Regression Tutorial Using Gradient Descent for Machine Learning

Stochastic Gradient Descent is an important and widely used algorithm in machine learning. In this post you will discover how to use Stochastic Gradient Descent to learn the coefficients for a simple linear regression model by minimizing the error on a training dataset. After reading this post you will know: The form of the Simple […]

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