fitgirl2008 Posted March 13, 2015 Report Share Posted March 13, 2015 Machine Learning, Artificial Intelligence, Mathematics eBooks PDF | English | 1.22 GB List: artificial general intelligence (2007).pdf5.7 Mb artificial intelligence (luger, 6th, 2008).pdf4.03 Martificial intelligence - a modern approach (3rd, 2009).pdf14.85 Mb artificial intelligence for games (2nd, 2009).pdfa field guide to genetic programming (2008).pdf3.59 Mbant colony optimization (2004).pdf1.88 Mb bio-inspired artificial intelligence (2008).pdf14.93 Mb evolving connectionist systems - the knowledge engineering approach (2007).pdf16.63 Mbintroduction to evolutionary computing (2003).pdf44.95 Mb swarm intelligence (2001).pdf9.02 Mb the art of artificial evolution - a handbook on evolutionary art and music (2007).pdfknowledge representation and reasoning (2004).pdf2.29 Mb prediction, learning, and games (2006).pdf5.53 Mb reinforcement learning - an introduction (1998).pdf4.04 Mbthe quest for AI - a history of ideas and achievements (2010).pdf15.32 Mb universal artificial intelligence (2005).pdfcalculus (spivak, 3rd, 1994).pdf48.37 Mb calculus (strang, 1991).pdf33.53 Mbintroduction to analysis (1985).pdffundamentals of matrix computations (2nd, 2002).pdf25.59 Mbintroduction to linear algebra (4th, 2009).pdf89.94 Mblinear algebra (1977).djvu14.12 Mbmatrix algebra - theory, computations, and applications in statistics (2007).pdf3.83 Mbmatrix computations (3rd, 1996).pdf11.56 Mbmatrix cookbook.pdf522.2 Kbconvex optimization (2004).pdf6.32 Mbintroduction to linear optimization (1997).pdf13.54 Mbintroduction to stochastic search and optimization (2003).djvu5.22 Mbnumerical optimization (2nd, 2006).pdf3.25 Mboptimization for machine learning (2011).pdf2.98 Mbpractical methods for optimization (2nd, 1987).pdfa course in probability theory (3rd, 2000).pdf20.47 Mba first look at rigorous probability theory (2nd, 2006).pdf3.12 Mban introduction to probability theory and applications (vol1, 3rd, 1968).pdf35.11 Mban introduction to probability theory and applications (vol2, 1971).pdf42.09 Mbintroduction to probability (bertsekas, 2nd, 2008).pdf17.37 Mbintroduction to probability (grinstead and snell, 2006).pdf2.85 Mbprobability theory - the logic of science (2003).pdf5.81 Mbschaum's outline of probability, random variables and random processes (1997).pdfall of nonparametric statistics (2010).pdf2.18 Mball of statistics - a concise course in statistical inference (2010).pdf44.94 Mban introduction to generalized linear models (2nd, 2001).pdf2.07 Mbapplied linear statistical models (5th, 2004).pdf49.8 Mbintroduction to bayesian statistics (2nd, 2007).pdf21.85 Mbmodern multivariate statistical techniques - regression, classification and manifold learning (2008).pdf11.77 Mbmultivariate data analysis (7th, 2009).pdf11.11 Mbrobust statistics (2nd, 2009).pdf13.78 Mbstatistics - the exploration and analysis of data (7th, 2010).pdf12.15 Mbstatistics in plain english (3rd, 2010).pdfa probabilistic theory of pattern recognition (1996).pdf10.78 Mban introduction to information retrieval (2009).pdf6.58 Mban introduction to pattern recognition - a matlab approach (2010).pdf3.35 Mbbayesian reasoning and machine learning (2012).pdf13.58 Mbdata analysis with open source tools (2010).pdf10.16 Mbdata mining - concepts and techniques (3rd, 2011).pdf12.53 Mbdata mining - practical machine learning tools and techniques (2011).pdf6.94 Mbdoing bayesian data analysis - a tutorial with R and BUGS (2010).pdf9.91 Mbelements of statistical learning (2008).pdf12.33 Mbensemble methods in data mining (2010).pdf2.6 Mbgaussian processes for machine learning (2005).pdf3.86 Mbinformation theory, inference and learning algorithms (2003).pdf7.06 Mbintroduction to machine learning (alpaydin, 2009).pdf3.52 Mbintroduction to machine learning (smola, 2010).pdf10.31 Mbkernel methods for pattern analysis (2004).pdf3.02 Mblarge-scale inference - empirical bayes methods for estimation, testing, and prediction (2010).pdf3.63 Mblearning deep architectures for AI (2009).pdf1.08 Mblearning with kernels (2002).pdf9.81 Mbmachine learning (1997).pdf37 Mbmachine learning - an algorithmic perspective (2009).pdf41.92 Mbmachine learning for hackers (2012).pdf23.08 Mbmining the social web - analyzing data from facebook, twitter, linkedin and other social media sites (2011).pdf4.81 Mbneural networks for applied sciences and engineering (2006).pdf5.86 Mbpattern recognition (4th, 2008).pdf13.23 Mbpattern recognition and machine learning (2007).pdf4.52 Mbprobabilistic graphical models - principles and techniques (2009).pdf66.17 Mbprogramming collective intelligence - building smart web 2.0 applications (2007).pdf3.3 Mbstatistical learning theory (1998).pdf http://ul.to/qo9xtq0w http://ul.to/0eqycqlh http://ul.to/jb8gwzev http://ul.to/tycp2tdm http://ul.to/x3e9ncb7 http://ul.to/k80qnpzp http://ul.to/8162goku http://ul.to/gfxu17q1 Link to comment Share on other sites More sharing options...
kras Posted September 7, 2015 Report Share Posted September 7, 2015 Hola, hay problemas con los enlaces, podrías verificar ?? gracias por compartir Link to comment Share on other sites More sharing options...
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