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Tuesday, 16 February 2021

Support Vector Machine Tutorial For Beginners | SVM Tutorial | Ntirawen | Data Science

Agenda : 

  • What is Machine Learning?
  • What is Support  Vector Machine ?
  • How does SVM Work ?
  • SVM Kernels
  • SVM Use Cases
  • How to implement SVM ?
  • Hands-On 

What is Machine Learning ?

⟶  Machine Learning is a subset of Artificial Intelligence (AI) which provides machines the ability to learn automatically & improve from experience without being explicitly programmed.

Type of Machine Learning 

Supervised Learning - Train me 

Unsupervised Learning  - I am self sufficient in learning

Reinforcement Learning - My life My rules! (Hit & Trial)


What is Support Vector Machine ?

Support Vector Machine is a discriminative classifier that is formally designed by a separative hyperplane. It is a representation of examples as points in space that are mapped so that the points of different categories are separated by a gap as wide as possible.

How does SVM Work ?


 SVM Kernels 

  • Linear Kernels
  • Radial Basis Function Kernel
  • Polynomial Kernels

 SVM Use - Cases

  • Face Detection
  • Text And Hypertext Categorization
  • Classification of Images
  • Bioinformatics
  • Remote Homology Detection
  • Handwriting Detection
  • Generalized Predictive Control

How to implement SVM ?

  • Loading the data
  • Exploring the data
  • Splitting data
  • Generating the model
  • Model evaluation

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