“The model tries to build a set of hyperplanes in a high dimensional space that tries to separate instances of different classes by getting the largest separation between the nearest instances from different classes. The concept intuitively is simple, but the model can be very complex and powerful. In fact, for some domains it is one of the best Machine Learning algorithms you can use nowadays.”
— Raúl Garreta, A Gentle Guide to Machine Learning
Tagged: Machine Learning, Support Vector Machines, Algorithms
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A Gentle Guide to Machine Learning blog.monkeylearn.com

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