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| a course in probability theory (3rd, 2000).pdf |
20.47Мб |
| a field guide to genetic programming (2008).pdf |
3.59Мб |
| a first look at rigorous probability theory (2nd, 2006).pdf |
3.12Мб |
| all of nonparametric statistics (2010).pdf |
2.18Мб |
| all of statistics - a concise course in statistical inference (2010).pdf |
44.94Мб |
| an introduction to generalized linear models (2nd, 2001).pdf |
2.07Мб |
| an introduction to information retrieval (2009).pdf |
6.58Мб |
| an introduction to pattern recognition - a matlab approach (2010).pdf |
3.35Мб |
| an introduction to probability theory and applications (vol1, 3rd, 1968).pdf |
35.11Мб |
| an introduction to probability theory and applications (vol2, 1971).pdf |
42.09Мб |
| answer book for calculus 3rd (spivak, 1994).pdf |
21.53Мб |
| ant colony optimization (2004).pdf |
1.88Мб |
| applied linear statistical models (5th, 2004).pdf |
49.80Мб |
| a probabilistic theory of pattern recognition (1996).pdf |
10.78Мб |
| artificial general intelligence (2007).pdf |
5.70Мб |
| artificial intelligence (luger, 6th, 2008).pdf |
4.03Мб |
| artificial intelligence - a modern approach (3rd, 2009).pdf |
14.85Мб |
| artificial intelligence for games (2nd, 2009).pdf |
4.09Мб |
| bayesian reasoning and machine learning (2012).pdf |
13.58Мб |
| bio-inspired artificial intelligence (2008).pdf |
14.93Мб |
| calculus (spivak, 3rd, 1994).pdf |
48.37Мб |
| calculus (strang, 1991).pdf |
33.53Мб |
| convex optimization (2004).pdf |
6.32Мб |
| data analysis with open source tools (2010).pdf |
10.16Мб |
| data mining - concepts and techniques (3rd, 2011).pdf |
12.53Мб |
| data mining - practical machine learning tools and techniques (2011).pdf |
6.94Мб |
| doing bayesian data analysis - a tutorial with R and BUGS (2010).pdf |
9.91Мб |
| elements of statistical learning (2008).pdf |
12.33Мб |
| elements of statistical learning sol1.pdf |
141.95Кб |
| elements of statistical learning sol2.pdf |
67.68Кб |
| ensemble methods in data mining (2010).pdf |
2.60Мб |
| evolving connectionist systems - the knowledge engineering approach (2007).pdf |
16.63Мб |
| foundations of statistical language processing (1999).pdf |
6.34Мб |
| fundamentals of matrix computations (2nd, 2002).pdf |
25.59Мб |
| gaussian processes for machine learning (2005).pdf |
3.86Мб |
| godel, escher, bach - an eternal golden braid (1999).pdf |
31.29Мб |
| how to prove it - a structured approach (2nd, 2006).pdf |
2.60Мб |
| information theory, inference and learning algorithms (2003).pdf |
7.06Мб |
| introduction to analysis (1985).pdf |
14.11Мб |
| introduction to bayesian statistics (2nd, 2007).pdf |
21.85Мб |
| introduction to evolutionary computing (2003).pdf |
44.95Мб |
| introduction to linear algebra (4th, 2009).pdf |
89.94Мб |
| introduction to linear algebra solution manual.pdf |
590.31Кб |
| introduction to linear optimization (1997).pdf |
13.54Мб |
| introduction to machine learning (alpaydin, 2009).pdf |
3.52Мб |
| introduction to machine learning (smola, 2010).pdf |
10.31Мб |
| introduction to probability (bertsekas, 2nd, 2008).pdf |
17.37Мб |
| introduction to probability (grinstead and snell, 2006).pdf |
2.85Мб |
| introduction to stochastic search and optimization (2003).djvu |
5.22Мб |
| kernel methods for pattern analysis (2004).pdf |
3.02Мб |
| knowledge representation and reasoning (2004).pdf |
2.29Мб |
| large-scale inference - empirical bayes methods for estimation, testing, and prediction (2010).pdf |
3.63Мб |
| learning deep architectures for AI (2009).pdf |
1.08Мб |
| learning with kernels (2002).pdf |
9.81Мб |
| linear algebra (1977).djvu |
14.12Мб |
| machine learning (1997).pdf |
37.00Мб |
| machine learning - an algorithmic perspective (2009).pdf |
41.92Мб |
| machine learning for hackers (2012).pdf |
23.08Мб |
| mathematical analysis (2nd, 1981).djvu |
9.98Мб |
| matrix algebra - theory, computations, and applications in statistics (2007).pdf |
3.83Мб |
| matrix computations (3rd, 1996).pdf |
11.56Мб |
| matrix cookbook.pdf |
522.20Кб |
| mining the social web - analyzing data from facebook, twitter, linkedin and other social media sites (2011).pdf |
4.81Мб |
| modern multivariate statistical techniques - regression, classification and manifold learning (2008).pdf |
11.77Мб |
| multivariate data analysis (7th, 2009).pdf |
11.11Мб |
| neural networks for applied sciences and engineering (2006).pdf |
5.86Мб |
| numerical optimization (2nd, 2006).pdf |
3.25Мб |
| optimization for machine learning (2011).pdf |
2.98Мб |
| pattern recognition (4th, 2008).pdf |
13.23Мб |
| pattern recognition and machine learning (2007).pdf |
4.52Мб |
| pattern recognition and machine learning solutions.pdf |
883.14Кб |
| practical methods for optimization (2nd, 1987).pdf |
14.98Мб |
| prediction, learning, and games (2006).pdf |
5.53Мб |
| probabilistic graphical models - principles and techniques (2009).pdf |
66.17Мб |
| probabilistic robotics (2005).pdf |
15.01Мб |
| probability theory - the logic of science (2003).pdf |
5.81Мб |
| programming collective intelligence - building smart web 2.0 applications (2007).pdf |
3.30Мб |
| reinforcement learning - an introduction (1998).pdf |
4.04Мб |
| robust statistics (2nd, 2009).pdf |
13.78Мб |
| schaum's outline of probability, random variables and random processes (1997).pdf |
4.43Мб |
| speech and language processing (2nd, 2007).pdf |
18.89Мб |
| statistical learning theory (1998).pdf |
29.82Мб |
| statistics in plain english (3rd, 2010).pdf |
2.49Мб |
| statistics - the exploration and analysis of data (7th, 2010).pdf |
12.15Мб |
| swarm intelligence (2001).pdf |
9.02Мб |
| the algorithm design manual (2nd, 2008).pdf |
5.85Мб |
| the art of artificial evolution - a handbook on evolutionary art and music (2007).pdf |
14.82Мб |
| the quest for AI - a history of ideas and achievements (2010).pdf |
15.32Мб |
| universal artificial intelligence (2005).pdf |
17.52Мб |