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https://www.engineeringbigdata.com/support-vector-machine-algorithm/
Technically, the support vector machine becomes a support vector algorithm when it is used for unsupervised learning. This form of learning does not work off of an example set. Instead, it uses a series of guidelines to either sort data into categories or draw a regression line .
https://www.javatpoint.com/machine-learning-support-vector-machine-algorithm
Support Vector Machine Algorithm. Support Vector Machine or SVM is one of the most popular Supervised Learning algorithms, which is used for Classification as well as Regression problems. However, primarily, it is used for Classification problems in Machine Learning.
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.
https://gerardnico.com/data_mining/support_vector_machine
Support vector machines are fantastic because they're very resilient to overfitting. Support vector machines are naturally resistant to overfitting because any interior points aren't going to affect the boundary. There's just a few of the points (2, 3, ..) in each cloud that define the position of the line: the support …
https://dataaspirant.com/2017/01/13/support-vector-machine-algorithm/
Jan 13, 2017 · Vapnik & Chervonenkis originally invented support vector machine. At that time, the algorithm was in early stages. At that time, the algorithm was in early stages. Drawing hyperplanes only for linear classifier was possible.
https://cahyadsn.phpindonesia.id/extra/svm.php
Nov 16, 2018 · Support Vector Machine (SVM) adalah sistem pembelajaran yang menggunakan ruang hipotesis berupa fungsi-fungsi linier dalam sebuah ruang fitur (feature space) berdimensi tinggi, dilatih dengan algoritma pembelajaran yang didasarkan pada teori optimasi dengan mengimplementasikan learning bias yang berasal dari teori pembelajaran statistik (Christianini 2000).
https://ghifar.wordpress.com/2015/06/05/support-vector-machines-penjelasan-matematis-dan-intuitif/
Support Vector Machines (SVM) merupakan salah satu algoritma machine learning yang paling efektif, baik dari sisi praktis maupun teoretis. Pada awal tahun 90'an hingga awal 2000'an, SVM arguably mengambil alih peran Neural Networks sebagai algoritma yang most favorable dikarenakan kecepatan, keakuratan, dan garansi untuk selalu menghasilkan solusi yang global optimum -- hingga sekitar tahun ...
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