960 rezultatov
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Bayesian Statistics the Fun Way(2019) KURT, WILLA fun guide to learning Bayesian statistics and probability through unusual and illustrative examples.Vezava: Mehka53,26 € -
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Proving Ground(2022) KLEIMAN, KATHYA fascinating, forgotten story of the six brilliant women who launched modern computing.Vezava: Trda33,27 € -
Personalized Privacy Protection in Big Data(2021) QU, YOUYANG,NOSOUHI, MOHAMMAD REZA,CUI, LEI,YU, SHUIVezava: Trda84,21 € -
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: Trda91,00 € -
Big Data for Urban Sustainability(2018) WANG, STEPHEN JIA,MORIARTY, PATRICKThis book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges.Vezava: Trda156,04 € -
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Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition(2021) DEITEL, PAULVezava: Mehka127,15 € -
BTEC Nationals Information Technology Student Book + Activebook(2016) PHILLIPS, JENNY,JARVIS, ALAN,FISHPOOL, MARK,MCGILL, RICHARD,COOK, TIM,ATKINSON-BEAUMONT, DAVID58,59 € -
We Know It When We See It(2021) MASLAND, RICHARDDefinitive pop science from a world expert.Vezava: Trda23,82 € -
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: Trda105,00 € -
Compressive Imaging: Structure, Sampling, Learning(2021) ADCOCK, BEN (SIMON FRASER UNIVERSITY, BRITISH COLUMBIA),HANSEN, ANDERS C. (UNIVERSITY OF CAMBRIDGE)This book provides a practical introduction to compressive imaging (with examples and code), an overview of core topics, and a comprehensive, rigorous treatment of the subject. It caters to graduate students, postdocs and faculty in mathematics, computerVezava: Trda115,50 € -
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 € -
Practical R for Mass Communication and Journalism(2018) MACHLIS, SHARONPeople working in the media deal with data constantly. Journalists who are interested in improving their data skills will find this book useful. The book will concentrate on teaching R and will not go into statistical details. Data sets and projects choseVezava: Mehka97,99 € -
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 € -
Humanities Data Analysis(2021) KARSDORP, FOLGERT,KESTEMONT, MIKE,RIDDELL, ALLENA practical guide to data-intensive humanities research using the Python programming languageThe use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patternVezava: Trda74,37 € -
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 € -
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: Mehka99,75 €
