What is the purpose of Soft Margin SVM and how does it differ from the original SVM algorithm?
Monday, 07 August 2023
by EITCA Academy
The purpose of Soft Margin SVM (Support Vector Machine) is to allow for some misclassification errors in the training data, in order to achieve a better balance between maximizing the margin and minimizing the number of misclassified samples. This differs from the original SVM algorithm, which aims to find a hyperplane that separates the data
- Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Support vector machine, Soft margin SVM and kernels with CVXOPT, Examination review
Tagged under:
Artificial Intelligence, CVXOPT, Machine Learning, Soft Margin SVM, Support Vector Machine, SVM
What are the necessary libraries for creating an SVM from scratch using Python?
Monday, 07 August 2023
by EITCA Academy
To create a support vector machine (SVM) from scratch using Python, there are several necessary libraries that can be utilized. These libraries provide the required functionalities for implementing an SVM algorithm and performing various machine learning tasks. In this comprehensive answer, we will discuss the key libraries that can be used to create an SVM
- Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Support vector machine, Creating an SVM from scratch, Examination review
Tagged under:
Artificial Intelligence, CVXOPT, Machine Learning, Matplotlib, NumPy, Pandas, Python, Scikit-learn, SciPy, Support Vector Machine