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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