What are some advantages of using support vector machines (SVMs) in machine learning applications?
Monday, 07 August 2023
by EITCA Academy
Support Vector Machines (SVMs) are a powerful and widely used machine learning algorithm that offer several advantages in various applications. In this answer, we will discuss some of the key advantages of using SVMs in machine learning. 1. Effective in high-dimensional spaces: SVMs perform well in high-dimensional spaces, which is a common scenario in many
When did support vector machines become widely recognized in the field of machine learning?
Monday, 07 August 2023
by EITCA Academy
Support Vector Machines (SVMs) have been widely recognized in the field of machine learning for their ability to handle complex classification and regression tasks. SVMs were first introduced by Vladimir Vapnik and Alexey Chervonenkis in the 1960s and 1970s, but it wasn't until the 1990s that they gained significant attention and became widely recognized. In
- Published in Artificial Intelligence, EITC/AI/MLP Machine Learning with Python, Introduction, Introduction to practical machine learning with Python, Examination review
Tagged under:
Artificial Intelligence, Classification, Machine Learning, Regression, Support Vector Machines, SVMs