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Foundations of Machine Learning by Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar

Foundations of Machine Learning Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar ebook
Publisher: MIT Press
ISBN: 9780262018258
Page: 432
Format: pdf

I highly recommend this article for a casual read, it's very nicely written and accessible but does delve into the theory and mathematical foundations of the Perceptron algorithm at the heart of the article. Jun 19, 2009 - The workshop is on the relationship between database privacy and the theoretical foundations of statistics and machine learning. Dec 29, 2012 - One of our first programs, set for Fall 2013, will be on the “Theoretical Foundations of Big Data Analysis”. To follow a path on the ground. May 7, 2014 - A 20 hours advanced machine learning course including theory classes and practical laboratory session. I've seen so much awesome stuff in my forays into Machine Learning as part of the course I'm doing, I thought I'd present for your entertainment and information my top 5 machine learning resources. 2012, 334 pages), a monograph written by J. Lavrac, presents the foundations, techniques and selected applications of rule learning as investigated in classical machine learning and modern data mining. Feb 3, 2012 - The Foundations and Trends series include topics like Machine Learning, Human-Computer Interaction, Communications and Information Theory, and more. Aug 31, 2008 - Support Vector Machine is a classifier derived from statistical learning theory by Vladimir Vapnik and his co-workers. Nov 24, 2009 - Top 5 Cool Machine Learning Links. Jan 13, 2013 - Mehryar Mohri, Afshin Rostamizadeh , "Foundations of Machine Learning" 2012 | ISBN-10: 026201825X | PDF | 432 pages | 3,4 MB.