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