Machine Learning Methods : Classification
There are many ways of classifying machine learning algorithms. In this assignment, I chose the below learning method classification that I find simple and intuitive, not necessarily exhaustive in terms of the algorithm list. The following mind map depicts a listing of 10 learning models and some key learning algorithms under each learning model category:
For each of the learning method classification, we will look at a basic definition of the classification and a list of important or well-known algorithms. Further for each of the algorithm, we will mark if they fall under supervised and/ or unsupervised learning technique, if they support two-class and /or multi-class data sets, are they generative or discriminative nature and if they are sequential or parallelizable processes. Firstly, Let us understand what each of the above attributions mean.
Understanding the classifications
Supervised, Unsupervised and Semi-supervised Learning Models
