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