19 rezultatov
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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: Mehka61,54 € -
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 € -
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 € -
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Core Data Analysis: Summarization, Correlation, and Visualization(2019) MIRKIN, BORISVezava: Mehka83,95 € -
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 € -
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 € -
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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: Mehka124,03 € -
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 € -
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: Mehka59,52 € -
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: Mehka53,73 € -
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: Trda68,68 € -
Introduction to Python Programming for Scientists and Engineers(2022) LIN, JOHNNY WEI-BING,AIZENMAN, HANNAH (CITY COLLEGE, CITY UNIVERSITY OF NEW YORK),MANETTE CARTAS ESPINEL, ERIN,GUNNERSON, KIM,LIU, JOANNEThis textbook introduces beginning to intermediate science and engineering students to programming with Python. It encourages a stronger understanding of programming concepts through numerous science and engineering examples and Jupyter notebook problems,Vezava: Mehka93,27 € -
Mathematics for Computer Scientists(2023) HARTMANN, PETERThis textbook contains the mathematics needed to study computer science in application-oriented computer science courses.Vezava: Mehka85,22 €
