Machine Learning, Artificial Intelligence, Mathematics eBooks

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Machine Learning, Artificial Intelligence, Mathematics eBooks

Torrent Contents Size: 1.22 GB

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

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