030 - Support Vector Machines： Linear SVM of Soft Margin Classifier

These are the teaching materials of Prof. Bo Liu’s Coursera specialization, Applied AI for Engineers and Scientists: Foundations, co-developed with and endorsed by MathWorks. The aim is to let non-computer science students and practitioners understand and use AI effectively and efficiently, bypassing complex programming. To learn this course, you only need to have basic programming skills. AI concepts and knowledge will be taught comprehensively. Thanks to MATLAB Toolboxes, the use of these AI techniques will not become a challenge. More details are in https://drive.google.com/file/d/1Muc6...
The YouTube resources are free. But if you want a certificate, please study it on Coursera https://www.coursera.org/specializati....
This video is in the 10th week (3rd part, Machine Learning and its Applications). The topic is Support Vector Machines: Linear SVM of Soft Margin Classifier.
[Download the specialization structure]
https://drive.google.com/drive/folder...
[Download the live scripts]
https://drive.google.com/drive/folder...
Keywords: MATLAB, Applied AI, Artificial Intelligence, Engineers, Scientists, Coursera, Support Vector Machines, Linear SVM of Soft Margin Classifier 📘 Detailed materials and course files are available on GitHub:
https://github.com/AIDAC-education/Ap...