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Zbirka: Matematika za računalničarje
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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.66,14 €
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.99,21 €
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 furth49,60 €
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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The Discrete Math Workbook - A Companion Manual Using Python(2020) KURGALIN, SERGEI,BORZUNOV, SERGEI106,85 €
KURGALIN, SERGEI,BORZUNOV, SERGEI
The Discrete Math Workbook - A Companion Manual Using Python
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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 September79,73 €
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, BORIS83,95 €
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 theoreti155,91 €
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 o56,21 €
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)132,89 €
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.76,32 €
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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Introduction to Data Science(2017) IGUAL, LAURA,SEGUI, SANTIThe coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentime59,52 €
IGUAL, LAURA,SEGUI, SANTI
Introduction to Data Science
The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentime
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Lectures on Matrix Field Theory(2016) YDRI, BADISThese lecture notes provide a systematic introduction to matrix models of quantum field theories with non-commutative and fuzzy geometries. The book initially focuses on the matrix formulation of non-commutative and fuzzy spaces, followed by a descrip42,93 €
YDRI, BADIS
Lectures on Matrix Field Theory
These lecture notes provide a systematic introduction to matrix models of quantum field theories with non-commutative and fuzzy geometries. The book initially focuses on the matrix formulation of non-commutative and fuzzy spaces, followed by a descrip
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