In this video you will learn below topics related to SVM
support vector machines
In machine learning, support-vector machines (SVMs, also support-vector networks[1]) are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis.
00:00 Introduction
01:20 what is vector ?
04:50 Linear and Non Linear data
05:54 What is Hyperplane
08:52 Hard Margin | Maximum margin classifier
12:30 Margin
15:33 Support vectors
19:54 How outlier affect hard margin classifier
30:45 Soft Margin Classifier
31:15 Soft Margin Classifier Margin Violation
32:56 Soft Margin Classifier Slack variables
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