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https://www.kdnuggets.com/2017/02/yhat-support-vector-machine.html
Support Vector Machine has become an extremely popular algorithm. In this post I try to give a simple explanation for how it works and give a few examples using the the Python Scikits libraries.
https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47
Jun 07, 2018 · Support vector machine is another simple algorithm that every machine learning expert should have in his/her arsenal. Support vector machine is highly preferred by many as it produces significant accuracy with less computation power. Support Vector Machine, abbreviated as SVM can be used for both regression and classification tasks.Author: Rohith Gandhi
https://www.r-bloggers.com/machine-learning-using-support-vector-machines/
Apr 19, 2017 · Support Vector Machines (SVM) is a data classification method that separates data using hyperplanes. The concept of SVM is very intuitive and easily understandable. If we have labeled data, SVM can be used to generate multiple separating hyperplanes such that the data space is divided into segments and each segment contains only one kind of data.
https://www.listendata.com/2017/01/support-vector-machine-in-r-tutorial.html
What is Support Vector Machine? The main idea of support vector machine is to find the optimal hyperplane (line in 2D, plane in 3D and hyperplane in more than 3 dimensions) which maximizes the margin between two classes. In this case, two classes are red and blue balls.
https://www.mathworks.com/help/stats/support-vector-machines-for-binary-classification.html
You can use a support vector machine (SVM) when your data has exactly two classes. An SVM classifies data by finding the best hyperplane that separates all data points of …
https://www.researchgate.net/post/When_we_use_Support_Vector_machine_for_Classification
Support vector machine (SVM) is a machine learning technique based on the structural risk minimization principle. Based on collected data of worked-out …
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