Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a ...

Talking about all the cutting-edge machine learning techniques used to deal with data.

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### Support vector machine - Wikipedia, the free encyclopedia

In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data ...

### k-nearest neighbors algorithm - Wikipedia, the free ...

If k = 1, then the object is simply assigned to the class of that single nearest neighbor. In k-NN regression, the output is the property value for the object.

### Naive Bayes classifier - Wikipedia, the free encyclopedia

In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence ...

### Decision tree - Wikipedia, the free encyclopedia

A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes ...

### Random forest - Wikipedia, the free encyclopedia

Random forests are an ensemble learning method for classification, regression and other tasks, that operate by constructing a multitude of decision trees at training ...