November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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More than classification
Another key point is that SVMs can, in addition to classification, also perform regression.
An SVM using a non-linear kernel algorithm means that the boundary that the algorithm calculates doesn't have to be a straight line; this means that the SVM can capture even more complex relationships between the data points without the data scientist having to do all those difficult transformations by hand.
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