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Efficient Learning from High Dimensional Big Data - Shai Shalev-Shwartz - Technion lecture
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Efficient Learning from High Dimensional Big Data
Lecture by Shai Shalev-Shwartz, associate professor at the Rachel and Selim Benin school of computer science and engineering, at the Hebrew University of Jerusalem. March 27, 2014 at Technion Computer Engineering Center
In this lecture I'll present a new algorithm for learning from high dimensional big data that improves state-of-the-art results for various key machine learning optimization problems including SVM, logistic regression, ridge regression, Lasso, and multiclass SVM.
Lecture by Shai Shalev-Shwartz, associate professor at the Rachel and Selim Benin school of computer science and engineering, at the Hebrew University of Jerusalem. March 27, 2014 at Technion Computer Engineering Center
In this lecture I'll present a new algorithm for learning from high dimensional big data that improves state-of-the-art results for various key machine learning optimization problems including SVM, logistic regression, ridge regression, Lasso, and multiclass SVM.