60 rezultatov
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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy(2017) CATHY O`NEILVezava: Mehka18,21 € -
Control Systems and Reinforcement Learning(2022) MEYN, SEAN (UNIVERSITY OF FLORIDA)The book is written for newcomers to reinforcement learning who wish to write code for various applications, from robotics to power systems to supply chains. It also contains advanced material designed to prepare graduate students and professionals for boVezava: Trda96,25 € -
We Know It When We See It(2021) MASLAND, RICHARDDefinitive pop science from a world expert.Vezava: Trda23,82 € -
Primer for Data Analytics and Graduate Study in Statistics(2020) WOLFE, DOUGLAS,SCHNEIDER, GRANTAdvanced undergraduate students and introductory graduate students from a variety of quantitative backgrounds will benefit from the transitional bridge that this volume offers, from a more generalized study of undergraduate mathematics and statistics to tVezava: Trda16,40 € -
Algorithmic Problem Solving(2011) BACKHOUSE, ROLAND (THE UNIVERSITY OF NOTTINGHAM, UK)* Novel approach to the mathematics of problem solving, in particular how to do logical calculations. * Many of the problems are well-known from (mathematical) puzzle books. * The solution method in the book is new and more relevant to the true natuVezava: Mehka72,11 € -
First Course in Random Matrix Theory(2020) POTTERS, MARC,BOUCHAUD, JEAN-PHILIPPEClassical statistical tools that handled real-life data have become inadequate upon the emergence of Big Data. Random matrix theory and free calculus introduced here present valuable solutions to the complex challenges posed by large datasets. Real worldVezava: Trda110,25 € -
Principles of Concurrent and Distributed Programming(2005) BEN-ARI, M.From a winner of the ACM/SIGCSE Award, this introduction to concurrency takes into account the importance of concurrency constructs in programming languages and of formal methods such as model checking. It focuses on algorithmic principles, and the use ofVezava: Mehka136,31 € -
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: Trda80,50 € -
Algorithmic Puzzles(2011) LEVITIN, ANANY (PROFESSOR OF COMPUTING SCIENCES, PROFESSOR OF COMPUTING SCIENCES, DEPARTMENT OF COMPUTING SCIENCES, VILLANOVA UNIVERSITY),LEVITIN, MARIA (SOFTWARE DEVELOPER, SOFTWARE DEVELOPER, (INDEPENDENT CONSULTANT))Algorithmic puzzles are puzzles involving well-defined procedures for solving problems. This book will provide an enjoyable and accessible introduction to algorithmic puzzles that will develop the reader's algorithmic thinking.Vezava: Mehka72,22 € -
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: Trda105,00 €
