Foundations of Data Science 1 John Hopcroft Ravindran Kannan

First Page		Document Content
Date: 2014-08-25 17:40:07 Linear algebra Multivariate statistics Data analysis Matrix theory Singular value decomposition Vector space model Principal component analysis Cluster analysis Hidden Markov model Algebra Statistics Mathematics		Foundations of Data Science 1 John Hopcroft Ravindran Kannan Add to Reading List Source URL: research.microsoft.com Download Document from Source Website File Size: 1,98 MB Share Document on Facebook

	The Vector Space Model of Word Meaning Informatics 1 CG: Lecture 13 Mirella Lapata School of Informatics University of Edinburgh DocID: 1sGvK - View Document
	Information Retrieval by Semantic Similarity Angelos Hliaoutakis1 , Giannis Varelas1 , Epimeneidis Voutsakis1 , Euripides G.M. Petrakis1? , and Evangelos Milios2 1 Dept. of Electronic and Computer Engineering DocID: 1rs5W - View Document
	MedSearch: A Retrieval System for Medical Information Based on Semantic Similarity Angelos Hliaoutakis1 , Giannis Varelas1 , Euripides G.M. Petrakis1 , and Evangelos Milios2 1 DocID: 1roZG - View Document
	Introduction to Information Retrieval ` `%%%`#_`__~~~false [0.5cm] IIR 6&7: Vector Space Model DocID: 1roKu - View Document
	Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora DocID: 1ribC - View Document