3. What are the different machine learning families?

Here I have listed the machine learning families from the 2 most important machine learning research papers. It categories classification and regression techniques in several families and can be helful for machine learning fans. First paper is about comparison of classification approaches and second one is on large collection of popular regression techniques. I have also provided the paper links to download them. Besides you can easily access 77 regression models, the link is given down below.

Paper 1: Do we need hundreds of classifiers to solve real world classification problems?

This research paper focuses on 179 classifiers over 121 datasets from 17 machine learning families.

Classification techniques are implemented in R, Weka, Matlab and C. According to the study, random forest classifier is the most likely to be the best classifier. Download this paper from the link https://bit.ly/1yAuJa9

Paper 2: An extensive experimental survey of regression methods

This research paper is on machine learning regression techniques. It explains and compares 77 the most important models which belong to 19 machine learning families. The techniques are evaluated on 83 UCI regression datasets. Most of the techniques are implemented in R. Figure 2 shows 19 regression families. You can download above paper from link (https://bit.ly/2J2OmTV)

The 77 regression models are freely available. Download it from https://bit.ly/2Y9LyI5

In addition you can try these model for your regression problem.

I hope this would be helpful! Stay tuned for more advanced post.

Thank you! See you in next post.

Happy reading:)

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