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Zbirka: Matematična teorija računanja
79 rezultatov
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Discrete Mathematics(2002) BIGGS, NORMAN L. (, PROFESSOR OF MATHEMATICS, LONDON SCHOOL OF ECONOMICS, UNIVERSITY OF LONDON)Includes chapters on statements and proof, logical framework, and natural numbers and the integers. This edition also features over 1000 tailored exercises and an accompanying website containing hints and solutions to all exercises. It is suitable for mat103,47 €
BIGGS, NORMAN L. (, PROFESSOR OF MATHEMATICS, LONDON SCHOOL OF ECONOMICS, UNIVERSITY OF LONDON)
Discrete Mathematics
Includes chapters on statements and proof, logical framework, and natural numbers and the integers. This edition also features over 1000 tailored exercises and an accompanying website containing hints and solutions to all exercises. It is suitable for mat
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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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Will We Ever Have a Quantum Computer?(2020) DYAKONOV, MIKHAIL I.This book addresses a broad community of physicists, engineers, computer scientists and industry professionals, as well as the general public, who are aware of the unprecedented media hype surrounding the supposedly imminent new era of quantum computing.83,95 €
DYAKONOV, MIKHAIL I.
Will We Ever Have a Quantum Computer?
This book addresses a broad community of physicists, engineers, computer scientists and industry professionals, as well as the general public, who are aware of the unprecedented media hype surrounding the supposedly imminent new era of quantum computing.
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MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence(2017) KIM PHILVezava: Trda83,95 €
KIM PHIL
MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence
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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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Effective DevOps(2016) DAVIS, JENNIFER,DANIELS, RYNSome companies think that adopting devops means bringing in specialists or a host of new tools. With this practical guide, you'll learn why devops is a professional and cultural movement that calls for change from inside your organization.55,57 €
DAVIS, JENNIFER,DANIELS, RYN
Effective DevOps
Some companies think that adopting devops means bringing in specialists or a host of new tools. With this practical guide, you'll learn why devops is a professional and cultural movement that calls for change from inside your organization.
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Modeling Companion for Software Practitioners(2018) BORGER, EGON,RASCHKE, ALEXANDER52,47 €
BORGER, EGON,RASCHKE, ALEXANDER
Modeling Companion for Software Practitioners
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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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