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Statistics for Data Scientists(2022) KAPTEIN, MAURITS,VAN DEN HEUVEL, EDWINThis book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students.Vezava: Mehka66,14 €
KAPTEIN, MAURITS,VAN DEN HEUVEL, EDWIN
Statistics for Data Scientists
This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science students.
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Statistical Field Theory for Neural Networks(2020) HELIAS, MORITZ,DAHMEN, DAVIDThis book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks.Vezava: Mehka99,21 €
HELIAS, MORITZ,DAHMEN, DAVID
Statistical Field Theory for Neural Networks
This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks.
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Statistical Learning with Math and Python(2021) SUZUKI, JOEThis textbook approaches the essence of machine learning and data science by considering math problems and building Python programs. As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read furthVezava: Mehka49,60 €
SUZUKI, JOE
Statistical Learning with Math and Python
This textbook approaches the essence of machine learning and data science by considering math problems and building Python programs. As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read furth
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Computational Diffusion MRI(2019)This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI’18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on SeptemberVezava: Trda44,29 €
Computational Diffusion MRI
This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI’18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September
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Core Data Analysis: Summarization, Correlation, and Visualization(2019) MIRKIN, BORISVezava: Mehka83,95 €
MIRKIN, BORIS
Core Data Analysis: Summarization, Correlation, and Visualization
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Course in Mathematical Statistics and Large Sample Theory(2016) BHATTACHARYA, RABI,LIN, LIZHEN,PATRANGENARU, VICTORThis graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretiVezava: Trda151,58 €
BHATTACHARYA, RABI,LIN, LIZHEN,PATRANGENARU, VICTOR
Course in Mathematical Statistics and Large Sample Theory
This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoreti
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Graph Theory(2017) DIESTEL, REINHARDFrom the reviews: “This outstanding book cannot be substituted with any other book on the present textbook market. a hell of a good book.” MAA Reviews “A highlight of the book is what is by far the best account in print of the Seymour-Robertson theory oVezava: Trda99,21 €
DIESTEL, REINHARD
Graph Theory
From the reviews: “This outstanding book cannot be substituted with any other book on the present textbook market. a hell of a good book.” MAA Reviews “A highlight of the book is what is by far the best account in print of the Seymour-Robertson theory o
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Essential Maths Skills for AS/A Level Computer Science(2016) GAVIN CRADDOCKVezava: Mehka24,41 €
GAVIN CRADDOCK
Essential Maths Skills for AS/A Level Computer Science
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Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning(2020) GALLIER, JEAN H (UNIV OF PENNSYLVANIA, USA),QUAINTANCE, JOCELYN (UNIV OF PENNSYLVANIA, USA)Vezava: Mehka132,89 €
GALLIER, JEAN H (UNIV OF PENNSYLVANIA, USA),QUAINTANCE, JOCELYN (UNIV OF PENNSYLVANIA, USA)
Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
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Basic Elements of Computational Statistics(2017) HARDLE, WOLFGANG KARL,OKHRIN, OSTAP,OKHRIN, YAREMAThis textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R.Vezava: Trda42,40 €
HARDLE, WOLFGANG KARL,OKHRIN, OSTAP,OKHRIN, YAREMA
Basic Elements of Computational Statistics
This textbook on computational statistics presents tools and concepts of univariate and multivariate statistical data analysis with a strong focus on applications and implementations in the statistical software R.
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Intermediate Course in Probability(2009) GUT, ALLANThe purpose of this book is to provide the reader with a solid background and understanding of the basic results and methods in probability theory before entering into more advanced courses (in probability and/or statistics).Vezava: Trda122,11 €
GUT, ALLAN
Intermediate Course in Probability
The purpose of this book is to provide the reader with a solid background and understanding of the basic results and methods in probability theory before entering into more advanced courses (in probability and/or statistics).
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Multivariate Data Analysis on Matrix Manifolds - (with Manopt)(2021) TRENDAFILOV, NICKOLAY,GALLO, MICHELEUnlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free) optimization software Manopt.Vezava: Trda68,68 €
TRENDAFILOV, NICKOLAY,GALLO, MICHELE
Multivariate Data Analysis on Matrix Manifolds - (with Manopt)
Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be solved using (free) optimization software Manopt.
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Probability in Electrical Engineering and Computer Science(2022) WALRAND, JEANThis edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in BerkelVezava: Mehka57,87 €
WALRAND, JEAN
Probability in Electrical Engineering and Computer Science
This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkel
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