55 rezultatov
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High-Dimensional Data Analysis with Low-Dimensional Models(2022) WRIGHT, JOHN (COLUMBIA UNIVERSITY, NEW YORK),MA, YI (UNIVERSITY OF CALIFORNIA, BERKELEY)A systematic introduction to the theory, algorithms, and applications of key mathematical models for data science. Covering applications including imaging, communication, and face recognition, with online code, it is ideal for senior/graduate students inVezava: Trda106,84 €
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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: Trda98,36 €
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Bayesian Data Analysis for the Behavioral and Neural Sciences(2021) HUDSON, TODD E. (NEW YORK UNIVERSITY)This textbook teaches undergraduates in psychology, neuroscience, and medicine modern data analysis techniques. It uses non-calculus-based mathematics with examples specific to behavioral and neural sciences. Perfect for statistics courses, it shows studeVezava: Mehka88,19 €
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Beautiful News(2021) MCCANDLESS, DAVIDIn this fascinating follow-up to the bestselling Information is Beautiful and Knowledge is Beautiful, the king of infographics David McCandless uses spectacular visuals to give us all a bit of good news.Vezava: Trda34,74 €
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Bayesian Data Analysis for the Behavioral and Neural Sciences(2021) HUDSON, TODD E. (NEW YORK UNIVERSITY)This textbook teaches undergraduates in psychology, neuroscience, and medicine modern data analysis techniques. It uses non-calculus-based mathematics with examples specific to behavioral and neural sciences. Perfect for statistics courses, it shows studeVezava: Trda88,59 €
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Expected Goals(2022) SMITH, RORYShortlisted for the William Hill Sports Book of the Year Award 202223,61 €
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Data Science for Mathematicians(2020)Mathematicians have skills that would enable them to use data to answer questions important to them and others, and report those answers in compelling ways. Data science combines parts of mathematics, statistics, computer science. This handbook will assisVezava: Trda244,13 €
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Data Power(2021) THATCHER, JIM E.,DALTON, CRAIG M.An introduction to learning how to protect ourselves and organise against Big DataVezava: Mehka34,44 €
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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 €
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Big Data(2017) HOLMES, DAWN E. (FACULTY MEMBER, DEPARTMENT OF STATISTICS AND APPLIED PROBABILITY, UNIVERSITY OF CALIFORNIA, SANTA BARBARA)An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technolVezava: Mehka13,88 €
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Time Series for Data Science(2022) WOODWARD, WAYNE A. (SOUTHERN METHODIST UNIVERSITY, DALLAS, TEXAS, USA),SADLER, BIVIN PHILIP (TECHNICAL ASSISTANT PROFESSOR, SOUTHERN METHODIST UNIVERSITY),ROBERTSON, STEPHENPractical Time Series Analysis for Data Science is an accessible guide that doesn’t require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.Vezava: Trda165,38 €
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How to Ask Survey Questions(2003) FINK, ARLENE G.Intended at helping readers prepare and use reliable and valid survey questions, this title shows readers how to: ask valid and reliable questions for the context; determine whether to use open or closed questions; and, choose the right type of measuremenVezava: Mehka130,65 €
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Super Crunchers(2008) AYRES, IANSuper Crunchers are the pioneers who 'think by numbers' to find patterns in human behaviour and predict the future - with staggeringly accurate resultsVezava: Mehka15,27 €