Token Metrics Machine Learning

Mutation is defined as the random change in the chromosome, which make the genes of children a little different from...

Crossover is used to combine the genetic information of two parents to generate a new offspring. This represents mating between...

During each successive generation, a portion of the existing population is selected to breed a new generation. Individual solutions are...

The fitness function determines the ability of an individual to compete with other individuals. The probability that an individual will...

The process begins with a set of random individuals which is called a Population. Each unique individual is a solution...

Unsupervised learning is a type of self-organized learning that helps find previously unknown patterns in data set without pre-existing labels....

Supervised learning is the machine learning task of learning a function that maps an input to an output based on...

The Backpropagation algorithm looks for the minimum value of the error function in weight space using a technique called the...

It’s a method of evaluating how machine learning techniques work on the training data. If predictions are good loss function...

An ensemble learning technique that combines several machine learning techniques into one predictive model. Stacking is an ensemble learning technique...

An MLP consists of at least three layers of nodes: an input layer, a hidden layer and an output layer....

Correlation is a statistic that measures the degree to which two variables move in relation to each other. Correlation measures...