Machine Learning Artificial Intelligence Mathematics eBooks | 47B61B1AA3EB58BBBD86266CD924F074646F7689

Machine Learning Artificial Intelligence Mathematics eBooks

Name	Machine Learning, Artificial Intelligence, Mathematics eBooks	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.3 GB
Total Files	89
Last Seen	2025-05-27 23:44
Hash	47B61B1AA3EB58BBBD86266CD924F074646F7689

/AI/
artificial general intelligence (2007).pdf	6.0 MB
artificial intelligence (luger, 6th, 2008).pdf	4.2 MB
artificial intelligence - a modern approach (3rd, 2009).pdf	15.6 MB
artificial intelligence for games (2nd, 2009).pdf	4.3 MB
knowledge representation and reasoning (2004).pdf	2.4 MB
prediction, learning, and games (2006).pdf	5.8 MB
reinforcement learning - an introduction (1998).pdf	4.2 MB
the quest for AI - a history of ideas and achievements (2010).pdf	16.1 MB
universal artificial intelligence (2005).pdf	18.4 MB
/AI/evo bio/
a field guide to genetic programming (2008).pdf	3.8 MB
ant colony optimization (2004).pdf	2.0 MB
bio-inspired artificial intelligence (2008).pdf	15.7 MB
evolving connectionist systems - the knowledge engineering approach (2007).pdf	17.4 MB
introduction to evolutionary computing (2003).pdf	47.1 MB
swarm intelligence (2001).pdf	9.5 MB
the art of artificial evolution - a handbook on evolutionary art and music (2007).pdf	15.5 MB
/math/analysis/
calculus (spivak, 3rd, 1994).pdf	50.7 MB
calculus (strang, 1991).pdf	35.2 MB
introduction to analysis (1985).pdf	14.8 MB
mathematical analysis (2nd, 1981).djvu	10.5 MB
/math/
how to prove it - a structured approach (2nd, 2006).pdf	2.7 MB
/math/matrix fu/
fundamentals of matrix computations (2nd, 2002).pdf	26.8 MB
introduction to linear algebra (4th, 2009).pdf	94.3 MB
linear algebra (1977).djvu	14.8 MB
matrix algebra - theory, computations, and applications in statistics (2007).pdf	4.0 MB
matrix computations (3rd, 1996).pdf	12.1 MB
matrix cookbook.pdf	534.7 KB
/math/optimization/
convex optimization (2004).pdf	6.6 MB
introduction to linear optimization (1997).pdf	14.2 MB
introduction to stochastic search and optimization (2003).djvu	5.5 MB
numerical optimization (2nd, 2006).pdf	3.4 MB
optimization for machine learning (2011).pdf	3.1 MB
practical methods for optimization (2nd, 1987).pdf	15.7 MB
/math/probability/
a course in probability theory (3rd, 2000).pdf	21.5 MB
a first look at rigorous probability theory (2nd, 2006).pdf	3.3 MB
an introduction to probability theory and applications (vol1, 3rd, 1968).pdf	36.8 MB
an introduction to probability theory and applications (vol2, 1971).pdf	44.1 MB
introduction to probability (bertsekas, 2nd, 2008).pdf	18.2 MB
introduction to probability (grinstead and snell, 2006).pdf	3.0 MB
probability theory - the logic of science (2003).pdf	6.1 MB
schaum's outline of probability, random variables and random processes (1997).pdf	4.6 MB
/math/statistics/
all of nonparametric statistics (2010).pdf	2.3 MB
all of statistics - a concise course in statistical inference (2010).pdf	47.1 MB
an introduction to generalized linear models (2nd, 2001).pdf	2.2 MB
applied linear statistical models (5th, 2004).pdf	52.2 MB
introduction to bayesian statistics (2nd, 2007).pdf	22.9 MB
modern multivariate statistical techniques - regression, classification and manifold learning (2008).pdf	12.3 MB
multivariate data analysis (7th, 2009).pdf	11.7 MB
robust statistics (2nd, 2009).pdf	14.5 MB
statistics - the exploration and analysis of data (7th, 2010).pdf	12.7 MB
statistics in plain english (3rd, 2010).pdf	2.6 MB
/ML/
a probabilistic theory of pattern recognition (1996).pdf	11.3 MB
an introduction to information retrieval (2009).pdf	6.9 MB
an introduction to pattern recognition - a matlab approach (2010).pdf	3.5 MB
bayesian reasoning and machine learning (2012).pdf	14.2 MB
data analysis with open source tools (2010).pdf	10.7 MB
data mining - concepts and techniques (3rd, 2011).pdf	13.1 MB
data mining - practical machine learning tools and techniques (2011).pdf	7.3 MB
doing bayesian data analysis - a tutorial with R and BUGS (2010).pdf	10.4 MB
elements of statistical learning (2008).pdf	12.9 MB
ensemble methods in data mining (2010).pdf	2.7 MB
gaussian processes for machine learning (2005).pdf	4.1 MB
information theory, inference and learning algorithms (2003).pdf	7.4 MB
introduction to machine learning (alpaydin, 2009).pdf	3.7 MB
introduction to machine learning (smola, 2010).pdf	10.8 MB
kernel methods for pattern analysis (2004).pdf	3.2 MB
large-scale inference - empirical bayes methods for estimation, testing, and prediction (2010).pdf	3.8 MB
learning deep architectures for AI (2009).pdf	1.1 MB
learning with kernels (2002).pdf	10.3 MB
machine learning (1997).pdf	38.8 MB
machine learning - an algorithmic perspective (2009).pdf	44.0 MB
machine learning for hackers (2012).pdf	24.2 MB
mining the social web - analyzing data from facebook, twitter, linkedin and other social media sites (2011).pdf	5.0 MB
neural networks for applied sciences and engineering (2006).pdf	6.1 MB
pattern recognition (4th, 2008).pdf	13.9 MB
pattern recognition and machine learning (2007).pdf	4.7 MB
probabilistic graphical models - principles and techniques (2009).pdf	69.4 MB
programming collective intelligence - building smart web 2.0 applications (2007).pdf	3.5 MB
statistical learning theory (1998).pdf	31.3 MB
/other/
foundations of statistical language processing (1999).pdf	6.6 MB
godel, escher, bach - an eternal golden braid (1999).pdf	32.8 MB
probabilistic robotics (2005).pdf	15.7 MB
speech and language processing (2nd, 2007).pdf	19.8 MB
the algorithm design manual (2nd, 2008).pdf	6.1 MB
/other/solutions/
answer book for calculus 3rd (spivak, 1994).pdf	22.6 MB
elements of statistical learning sol1.pdf	145.4 KB
elements of statistical learning sol2.pdf	69.3 KB
introduction to linear algebra solution manual.pdf	604.5 KB
pattern recognition and machine learning solutions.pdf	904.3 KB
Total files 89