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Author: Abha Sehgal, Sandra D'Souza, Saroja Sundararajan and Jayanthi Ravi
Publisher: New Saraswati House India Pvt Ltd
ISBN: 935272979X
Category : Language Arts & Disciplines
Languages : en
Pages :
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Book Description
VC-Foundation-C03-Sem1
Author: Abha Sehgal, Sandra D'Souza, Saroja Sundararajan and Jayanthi Ravi
Publisher: New Saraswati House India Pvt Ltd
ISBN: 935272979X
Category : Language Arts & Disciplines
Languages : en
Pages :
Get Book Here
Book Description
VC-Foundation-C03-Sem1
Author: Abha Sehgal, Sandra D'Souza, Saroja Sundararajan and Jayanthi Ravi
Publisher: New Saraswati House India Pvt Ltd
ISBN: 9352729803
Category : Language Arts & Disciplines
Languages : en
Pages :
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Book Description
VC-Foundation-C03-Sem2
Author: Abha Sehgal, Sandra D'Souza, Saroja Sundararajan and Jayanthi Ravi
Publisher: New Saraswati House India Pvt Ltd
ISBN: 9352729811
Category : Language Arts & Disciplines
Languages : en
Pages :
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Book Description
VC-Foundation-C04-Sem1
Author: Abha Sehgal, Sandra D'Souza, Saroja Sundararajan and Jayanthi Ravi
Publisher: New Saraswati House India Pvt Ltd
ISBN: 9352729757
Category : Language Arts & Disciplines
Languages : en
Pages :
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Book Description
VC-Foundation-C01-Sem1
Author: Abha Sehgal, Sandra D'Souza, Saroja Sundararajan and Jayanthi Ravi
Publisher: New Saraswati House India Pvt Ltd
ISBN: 9352729838
Category : Language Arts & Disciplines
Languages : en
Pages :
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Book Description
VC-Foundation-C05-Sem1
Author: Abha Sehgal, Sandra D'Souza, Saroja Sundararajan and Jayanthi Ravi
Publisher: New Saraswati House India Pvt Ltd
ISBN: 9352729773
Category : Language Arts & Disciplines
Languages : en
Pages :
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Book Description
VC-Foundation-C02-Sem1
Author: Avrim Blum
Publisher: Cambridge University Press
ISBN: 1108617360
Category : Computers
Languages : en
Pages : 433
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Book Description
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Author: Halsey Royden
Publisher: Pearson Modern Classics for Advanced Mathematics Series
ISBN: 9780134689494
Category : Functional analysis
Languages : en
Pages : 0
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Book Description
This text is designed for graduate-level courses in real analysis. Real Analysis, 4th Edition, covers the basic material that every graduate student should know in the classical theory of functions of a real variable, measure and integration theory, and some of the more important and elementary topics in general topology and normed linear space theory. This text assumes a general background in undergraduate mathematics and familiarity with the material covered in an undergraduate course on the fundamental concepts of analysis.
Author: Michael J. Crawley
Publisher: John Wiley & Sons
ISBN: 9780470515068
Category : Mathematics
Languages : en
Pages : 953
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Book Description
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.
Author: Sigurd Angenent
Publisher:
ISBN: 9781505204841
Category :
Languages : en
Pages : 134
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Book Description
MATH 221 FIRST Semester CalculusBy Sigurd Angenent
