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Support Vector Machines

Great Learning via YouTube

Overview

This course on Support Vector Machines aims to help learners understand the foundations of SVMs quickly. By the end of the course, students will be able to grasp the concepts of Support Vector Machines, kernel functions, advantages and disadvantages of SVMs, popular applications, and practical demonstrations in Python. The teaching method includes video lectures covering the syllabus topics. This course is intended for individuals interested in expanding their knowledge of machine learning algorithms, particularly Support Vector Machines.

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

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