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

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