Index of /Books Magazines and other texts/Computer Science/Machine Learning, Artificial Intelligence, Mathematics eBooks/ML

	Name	Size
	Parent Directory	-
	probabilistic graphical models - principles and techniques (2009).pdf	66M
	machine learning - an algorithmic perspective (2009).pdf	42M
	machine learning (1997).pdf	37M
	statistical learning theory (1998).pdf	30M
	machine learning for hackers (2012).pdf	23M
	bayesian reasoning and machine learning (2012).pdf	14M
	pattern recognition (4th, 2008).pdf	13M
	data mining - concepts and techniques (3rd, 2011).pdf	13M
	elements of statistical learning (2008).pdf	12M
	a probabilistic theory of pattern recognition (1996).pdf	11M
	introduction to machine learning (smola, 2010).pdf	10M
	data analysis with open source tools (2010).pdf	10M
	doing bayesian data analysis - a tutorial with R and BUGS (2010).pdf	9.9M
	learning with kernels (2002).pdf	9.8M
	information theory, inference and learning algorithms (2003).pdf	7.1M
	data mining - practical machine learning tools and techniques (2011).pdf	6.9M
	an introduction to information retrieval (2009).pdf	6.6M
	neural networks for applied sciences and engineering (2006).pdf	5.9M
	mining the social web - analyzing data from facebook, twitter, linkedin and other social media sites (2011).pdf	4.8M
	pattern recognition and machine learning (2007).pdf	4.5M
	gaussian processes for machine learning (2005).pdf	3.9M
	large-scale inference - empirical bayes methods for estimation, testing, and prediction (2010).pdf	3.6M
	introduction to machine learning (alpaydin, 2009).pdf	3.5M
	an introduction to pattern recognition - a matlab approach (2010).pdf	3.3M
	programming collective intelligence - building smart web 2.0 applications (2007).pdf	3.3M
	kernel methods for pattern analysis (2004).pdf	3.0M
	ensemble methods in data mining (2010).pdf	2.6M
	learning deep architectures for AI (2009).pdf	1.1M