80 rezultatov
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Bandit Algorithms(2020) LATTIMORE, TOR (UNIVERSITY OF ALBERTA),SZEPESVARI, CSABA (UNIVERSITY OF ALBERTA)Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is an excellent reference for established researchers and a resource for gVezava: Trda71,22 € -
Probabilistic Numerics(2022) HENNIG, PHILIPP (EBERHARD-KARLS-UNIVERSITAT TUBINGEN, GERMANY),OSBORNE, MICHAEL A. (UNIVERSITY OF OXFORD),KERSTING, HANS P. (ECOLE NORMALE SUPERIEURE, PARIS)This text provides a first comprehensive introduction to probabilistic numerics, aimed at Masters' and PhD students, as well as postgraduate researchers in artificial intelligence, computer science, statistics, and applied mathematics. It contains extensiVezava: Trda93,27 € -
Quantum Computing: From Alice to Bob(2022) FLAREND, ALICE (PHYSICS TEACHER, PHYSICS TEACHER, BELLWOOD-ANTIS HIGH SCHOOL),HILBORN, ROBERT (ASSOCIATE EXECUTIVE OFFICER, ASSOCIATE EXECUTIVE OFFICER, AMHERST COLLEGE)A distinctive and accessible introduction to quantum information science and quantum computing, this textbook provides a solid conceptual and formal understanding of quantum states and entanglement for undergraduate students and upper-level secondary schoVezava: Mehka65,21 € -
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 € -
Data-Driven Science and Engineering(2022) BRUNTON, STEVEN L. (UNIVERSITY OF WASHINGTON),KUTZ, J. NATHAN (UNIVERSITY OF WASHINGTON)Data-driven discovery is revolutionizing how we model, predict, and control complex systems. This text integrates emerging machine learning and data science methods for engineering and science communities. Now with Python and MATLAB®, new chapters on reinVezava: Trda84,79 € -
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 matVezava: Mehka111,95 € -
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 € -
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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 € -
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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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.Vezava: Mehka91,58 € -
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Core Data Analysis: Summarization, Correlation, and Visualization(2019) MIRKIN, BORISVezava: Mehka83,95 € -
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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: Trda165,36 € -
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What Can Be Computed? - A Practical Guide to the Theory of Computation(2018) JOHN MACCORMICKVezava: Trda86,22 € -
