Machine Learning：SVM Overview

Support Vector Machine(SVM), also called max margin classifer, is a very popular supervised algorithm. It can handle linear or nonlinear classification, regression as well as outlier detection[2]. SVMs are particularly well suited for classification of complex but small- or medium-sized datasets[1].

This post will walk you through the mathematics behind SVMs as well as case studies.

SVM Mathematics

• WIP

SVM Use Cases

• Case Study 1: WIP
• Case Study 2: WIP

Reference & Resources

[1] Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition [2] When it comes to outlier dection, it is unsupervised instead of supervised.

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