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doing bayesian data analysis - a tutorial with R and BUGS (2010).pdf

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doing bayesian data analysis - a tutorial with R and BUGS (2010).pdf
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data mining - practical machine learning tools and techniques (2011).pdf
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data mining - concepts and techniques (3rd, 2011).pdf
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elements of statistical learning (2008).pdf
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data analysis with open source tools (2010).pdf
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ensemble methods in data mining (2010).pdf
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gaussian processes for machine learning (2005).pdf
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bayesian reasoning and machine learning (2012).pdf
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information theory, inference and learning algorithms (2003).pdf
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an introduction to pattern recognition - a matlab approach (2010).pdf
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an introduction to information retrieval (2009).pdf
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introduction to machine learning (alpaydin, 2009).pdf
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introduction to machine learning (smola, 2010).pdf
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a probabilistic theory of pattern recognition (1996).pdf
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kernel methods for pattern analysis (2004).pdf
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large-scale inference - empirical bayes methods for estimation, testing, and prediction (2010).pdf
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learning deep architectures for AI (2009).pdf
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learning with kernels (2002).pdf
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machine learning (1997).pdf
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machine learning - an algorithmic perspective (2009).pdf
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