Lecture 1.14 | Support Vector Machine (SVM) Explained | Machine learning techniques
In this support vector machine tutorial, you'll learn everything you need to know about SVMs and how they work. Support vector machines are powerful machine learning algorithms that can be used for classification and regression tasks. They work by finding the optimal hyperplane that separates different classes of data.
In this video, we'll cover the following topics:
00:00 - Introduction to support vector machines
02:18 - Applications of support vector machines in real-world scenarios
03:40 - How SVMs work and the concept of hyperplanes
Whether you're a beginner or an experienced data scientist, this SVM tutorial will provide you with a solid understanding of this powerful machine learning technique.
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