Lecture 14 - Support Vector Machines

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Xuất bản 18/08/2015
Support Vector Machines - One of the most successful learning algorithms; getting a complex model at the price of a simple one. Lecture 14 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunesu.itunes.apple.com/audit/CODBABB3ZC and on the course website - http://work.caltech.edu/telecourse.html Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/ This lecture was recorded on May 17, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
Learning Quotation Subject course science computer data Data Science MOOC Technology Professional Field Lecture Type Of Public Presentation Big Data Computer Science Industry Machine Learning Field Of Study Support Vector Machine SVM Caltech Data Mining Technology Class learning from data Vapnik Lagrange Multiplier Concepts/Theories KKT margin quadratic programming kernel methods California Institute Of Technology Organization Abu-Mostafa Yaser
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