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Machine Learning Algorithm: Support Vector Machines (SVM), Exams of Calculus

Georgia Institute of Technology - Main CampusCalculus

An overview of the support vector machines (svm) algorithm, a supervised machine learning model used for classification and regression analysis. Svm finds the hyperplane that maximally separates data points of different classes, making it effective in handling high-dimensional data and complex datasets. The basics of svm, its advantages, and applications.

Typology: Exams

Pre 2010

Uploaded on 10/28/2009

bme22
bme22 🇺🇸

16 documents

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Download Machine Learning Algorithm: Support Vector Machines (SVM) and more Exams Calculus in PDF only on Docsity!           ! " ##$%&&'() * ++,-../0 12++,-../0 3334566678 99 9:;;;<=>>>?@ AB;;;<=>>>?@ CCCDEFFFGH IJ K Name Page 2 of 3 Hour Test 2 Teaching Assistant 21 October 2006 2 1 01 3 4. (25) The matrix A = 2 110 0 has LU factorization 4 2 02 6 3 1 4 16 1 00 0\f2 101 3 A= -1 1 0 0}]}/0 01 1 3 2 01 0}}/0 0 0 0 2 3 12 1)/\0 000 0 a. Find a basis for the nullspace N(A) and the dimension of N(A). Is A one-to-one? b. Find a basis for the range R(A) and the dimension of R(A). Is A onto?