40 rezultatov
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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: Trda101,05 € -
Core Data Analysis: Summarization, Correlation, and Visualization(2019) MIRKIN, BORISVezava: Mehka54,13 € -
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: Trda109,43 € -
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.Vezava: Mehka56,06 € -
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: Trda102,36 € -
Computational Physics(2015) LANDAU, RUBIN H. (OREGON STATE UNIVERSITY, CORVALLIS),PAEZ, MANUEL J. (UNIVERSITY OF ANTIOQUIA, MEDELLIN, COLOMBIA),BORDEIANU, CRISTIAN C. (BUCHAREST UNIVERSITY, ROMANIA)The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working leveVezava: Mehka139,49 € -
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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 (UNIVERSITY OF PENNSYLVANIA, USA)Vezava: Mehka136,80 € -
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 sentimeVezava: Mehka61,57 € -
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 descripVezava: Mehka55,59 € -
Machine Learning - A First Course for Engineers and Scientists(2022) ANDREAS LINDHOLMVezava: Trda101,50 € -
Trustworthy Online Controlled Experiments - A Practical Guide to A/B Testing(2020) RON KOHAVIVezava: Mehka60,83 € -
Multivariate Data Analysis on Matrix Manifolds(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: Trda44,29 € -
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Numerical Python in Astronomy and Astrophysics(2021) SCHMIDT, WOLFRAM,VOLSCHOW, MARCELThis book provides a solid foundation in the Python programming language, numerical methods, and data analysis, all embedded within the context of astronomy and astrophysics.Vezava: Mehka76,55 € -
Understand Mathematics, Understand Computing(2020) ROSENBERG, ARNOLD L.,TRYSTRAM, DENISIn this book the authors aim to endow the reader with an operational, conceptual, and methodological understanding of the discrete mathematics that can be used to study, understand, and perform computing.Vezava: Trda114,83 €
