{"id":340,"date":"2020-10-02T01:19:04","date_gmt":"2020-10-02T01:19:04","guid":{"rendered":"https:\/\/machine-learning.webcloning.com\/2020\/10\/02\/gaussian-processes-for-classification-with-python\/"},"modified":"2020-10-02T01:19:04","modified_gmt":"2020-10-02T01:19:04","slug":"gaussian-processes-for-classification-with-python","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2020\/10\/02\/gaussian-processes-for-classification-with-python\/","title":{"rendered":"Gaussian Processes for Classification With Python"},"content":{"rendered":"
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The Gaussian Processes Classifier<\/strong> is a classification machine learning algorithm.<\/p>\n

Gaussian Processes are a generalization of the Gaussian probability distribution and can be used as the basis for sophisticated non-parametric machine learning algorithms for classification and regression.<\/p>\n

They are a type of kernel model, like SVMs, and unlike SVMs, they are capable of predicting highly calibrated class membership probabilities, although the choice and configuration of the kernel used at the heart of the method can be challenging.<\/p>\n

In this tutorial, you will discover the Gaussian Processes Classifier classification machine learning algorithm.<\/p>\n

After completing this tutorial, you will know:<\/p>\n