Introduction to AI with Python
support vector machines
A course by Rodrigo Montemayor , Programmer
About the video: support vector machines
Overview
“In this lesson we will talk about the Support Vector Machines algorithm, its intuition and operation.”
In this video lesson Rodrigo Montemayor addresses the topic: support vector machines, which is part of the Domestika online course: Introduction to AI with Python. Learn the basics of artificial intelligence and how to apply it in problem-solving.
Partial transcription of the video
“In this lesson we will talk about an algorithm called support vector machines, its intuition and functioning. Let's get started. Support vector machines, or SVMs, is another Machine Learning algorithm for supervised learning that allows classifications or regressions. This algorithm takes a set of data and seeks to find a plane or hyperplane line that separates the data into two classes. Unlike linear regression, that seeks to find a line that best fits the data, SVM seeks to find a line that best separates the two classes. Let's say we have this data set. If we have several separation line...”
This transcript is automatically generated, so it may contain mistakes.
Course summary for: Introduction to AI with Python
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Category
Artificial Intelligence, Web & App Design -
Areas
AI programming, Artificial Intelligence, Programming, Web Development
Rodrigo Montemayor
A course by Rodrigo Montemayor
Rodrigo Montemayor has been a programmer for more than 20 years. He has worked with many of the largest companies in Mexico and also some international ones in web, mobile, and desktop development. In addition, through his own company, he has created software for all types of clients, such as various technology brands, cybersecurity, automation, and artificial intelligence.
On the other hand, he shares content on the RingaTech Youtube channel with the aim of teaching and informing about technology, cybersecurity, and artificial intelligence. As part of the channel, he has developed some projects and games whose code is available to the public.
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