Linear svm
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Transcript of Linear svm
Linear SVM: A Case Study, First Part
( Coding And Theory)ANANDA SWARUP DAS, TECHNICAL STAFF MEMBER,
KNOWLEDGE ENGINEERING AND ENCRYPTED ANALYTICS TEAM,IBM INDIA RESEARCH LABS, NEW DELHI.
Spam and HamHow I read the data: Using Pandas
How My Data Looks:
Processing the Text
Number of Classes in My Data
Working with Text Data
TF-IDF (Term Frequency-Inverse Document Frequency Vectors)
Output
TfidfTranformer and Our Purpose
Objective:
TfidfTransformer:
Hyperplane Definition (Theory for Linear SVM Begins)
Role of the bias
The hyperplane that we want
A Criteria for Linear SVM to work
Linear SVM and the Decision Rules
Orthogonality of the Weight Vector
The Concept of Margin
Why Margin is Expressed in terms of the unit vector
Scaling the Margin