Introduction to decision trees with BigML: a step by step guide

December, 2016


The discussion on machine learning is the buzz word in the current tech tectonic waves. It’s all amber-hot as the machines are nearly on the verge of learning to do things and react to the environment around them in more human-like-unsupervised-design.

Machine learning is a field of neuro-computational studies, in which scientists work towards instilling learning capabilities in a computer memory. This is all possible through implementation of a set of supervised or unsupervised rules referred to as algorithms. The most popular machine learning algorithms are artificial neural networks, support vector machines, k-nearest neighbors and decision trees. We will discuss the decision trees in this context.

Please continue to read the original post Introduction to decision trees with BigML: a step by step guide on my old blog.

Introduction to decision trees with BigML: a step by step guide - December 7, 2016 - lorenzo toscano
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