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

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