93 rezultatov
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Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data(2013) NATHAN J. KUTZVezava: Mehka86,60 € -
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: Trda101,49 € -
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: Mehka144,62 € -
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: Trda77,00 € -
Predictive Policing and Artificial Intelligence(2022)This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas; it explores themes of decision making, human rights and rulVezava: Mehka73,49 € -
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: Mehka68,42 € -
Introduction to Engineering and Scientific Computing with Python(2022) CLOUGH, DAVID E. (UNIVERSITY OF COLORADO, USA),CHAPRA, STEVEN C. (TUFTS UNIVERSITY, USA)This book is an essential guide to Python, which will be relevant to all engineers, particularly undergraduate students in their first year. It will also be of interest to professionals and graduate students looking to hone their programming skills, and tVezava: Trda139,02 € -
Inglorious Years(2021) COHEN, DANIELHow populism is fueled by the demise of the industrial order and the emergence of a new digital society ruled by algorithmsIn the revolutionary excitement of the 1960s, young people around the world called for a radical shift away from the old industrialVezava: Trda13,07 € -
Data Power(2021) THATCHER, JIM E.,DALTON, CRAIG M.An introduction to learning how to protect ourselves and organise against Big DataVezava: Mehka35,63 € -
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: Trda99,75 € -
Machine Learning for Signal Processing(2019) LITTLE, PROF MAX A. (PROFESSOR OF MATHEMATICS, ASTON UNIVERSITY, PROFESSOR OF MATHEMATICS, ASTON UNIVERSITY, ASTON UNIVERSITY, BIRMINGHAM)Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts graVezava: Trda129,71 € -
Discrete Mathematical Charms of Paul Erdos(2021) CHVATAL, VASEK (CONCORDIA UNIVERSITY, MONTREAL)This captivating book provides an introduction to fundamental results of discrete mathematics through the work of Paul Erdos, blended with first-hand reminiscences of his work and life. Written for students, it covers topics ranging from Bertrand's postulVezava: Mehka49,42 € -
Augmented Exploitation(2021)Artificial intelligence should be changing society, not reinforcing capitalist notions of workVezava: Mehka35,51 € -
Data Structures and Algorithms with Scala(2019) UPADHYAYA, BHIM P.This practically-focused textbook presents a concise tutorial on data structures and algorithms using the object-functional language Scala.Vezava: Mehka59,86 € -
Genetic Algorithms and Machine Learning for Programmers(2019) BUONTEMPO, FRANCESVezava: Mehka70,32 € -
Introduction to Mathematical Cryptography(2014) HOFFSTEIN, JEFFREY,PIPHER, JILL,SILVERMAN, JOSEPH H.An Introduction to Mathematical CryptographyVezava: Trda96,46 € -
PyTorch Pocket Reference(2021) PAPA, JOEThis concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your developmentVezava: Mehka33,63 €
