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