Support Vector Machines are perhaps one of the most popular and talked about machine learning algorithms. They were extremely popular […]

# Archive | Machine Learning Algorithms

## Learning Vector Quantization for Machine Learning

A downside of K-Nearest Neighbors is that you need to hang on to your entire training dataset. The Learning Vector […]

## K-Nearest Neighbors for Machine Learning

In this post you will discover the k-Nearest Neighbors (KNN) algorithm for classification and regression. After reading this post you […]

## Naive Bayes Tutorial for Machine Learning

Naive Bayes is a very simple classification algorithm that makes some strong assumptions about the independence of each input variable. […]

## Naive Bayes for Machine Learning

Naive Bayes is a simple but surprisingly powerful algorithm for predictive modeling. In this post you will discover the Naive […]

## 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 […]

## 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 […]

## 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 […]

## Logistic Regression for Machine Learning

Logistic regression is another technique borrowed by machine learning from the field of statistics. It is the go-to method for […]

## 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 […]