Explore the fundamentals of Support Vector Machines (SVMs) in this comprehensive one-hour video tutorial. Delve into the world of machine learning algorithms, focusing on SVMs and their significance in creating powerful applications. Begin with an introduction to machine learning before diving deep into SVMs, their functionality, and kernel functions. Discover the advantages and disadvantages of using SVMs, and explore their popular applications across various industries. Gain practical experience through a hands-on demonstration using Python, solidifying your understanding of this crucial algorithm. By the end of this tutorial, acquire a strong foundation in SVMs and their role in the ever-evolving field of machine learning.
Overview
Syllabus
Introduction.
Agenda.
Introduction to Machine Learning.
Introduction to Support Vector Machines.
Understanding Kernel functions.
Advantages and Disadvantages of SVMs.
Popular Applications of SVMs.
Practical Demonstration in Python.
Summary.
Taught by
Great Learning
