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https://www.coursera.org/lecture/machine-learning/using-an-svm-sKQoJ
Video created by Stanford University for the course "Machine Learning". Support vector machines, or SVMs, is a machine learning algorithm for classification. We introduce the idea and intuitions behind SVMs and discuss how to use it in practice.
https://www.udemy.com/course/support-vector-machines-in-python/
One of the things you’ll learn about in this course is that a support vector machine actually is a neural network, and they essentially look identical if you were to draw a diagram. The toughest obstacle to overcome when you’re learning about support vector machines is that they are very theoretical.4.5/5(285)
https://www.coursera.org/learn/machine-learning/programming/e4hZk/support-vector-machines
1000+ courses from schools like Stanford and Yale - no application required. Build career skills in data science, computer science, business, and more.
https://www.udemy.com/course/machine-learning-adv-support-vector-machines-svm-python/
You're looking for a complete Support Vector Machines course that teaches you everything you need to create a Support Vector Machines model in Python, right?. You've found the right Support Vector Machines techniques course!. How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning advanced course.3.9/5(38)
https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/lecture-videos/lecture-16-learning-support-vector-machines/
In this lecture, we explore support vector machines in some mathematical detail. We use Lagrange multipliers to maximize the width of the street given certain constraints. ... Now, of course, ... decides to try a support vector machine with a kernel, in which n equals 2, just slightly nonlinear, works like a charm.
http://aionlinecourse.com/tutorial/machine-learning/support-vector-regression
Support Vector Regression: Support Vector Regression(SVR) is quite different than other Regression models. It uses the Support Vector Machine(SVM, a classification algorithm) algorithm to predict a continuous variable.
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