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Are you interested in discovering what physicists have found so essential and shocking? ![]() English | 2021 | ISBN: 1119715172 | 499 pages | True (PDF EPUB) | 67.42 MB QUANTILE REGRESSIONA thorough presentation of Quantile Regression designed to help readers obtain richer information from data analyses The conditional least-square or mean-regression (MR) analysis is the quantitative research method used to model and analyze the relationships between a dependent variable and one or more independent variables, where each equation estimation of a regression can give only a single regression function or fitted values variable. As an advanced mean regression analysis, each estimation equation of the mean-regression can be used directly to estimate the conditional quantile regression (QR), which can quickly present the statistical results of a set nine QR(τ)s for τ(tau)s from 0.1 up to 0.9 to predict detail distribution of the response or criterion variable. QR is an important analytical tool in many disciplines such as statistics, econometrics, ecology, healthcare, andengineering. ![]() English | 2021 | ISBN: 9781098108854 | 38 pages | PDF,EPUB | 1.59 MB Q# is a domain-specific language for quantum programming that combines familiar "classical" language constructs with quantum-specific ones. Ideal for any developer familiar with--or willing to learn--the basics of quantum computing, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#. 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While Microsoft Azure is no longer "the new cloud on the block," it continues to be one of the fastest-growing platforms with regard to features, integrations, and capabilities. Over the last decade, it has undergone significant changes and amassed a large following, but many of its users, especially those who transitioned from traditional admin tasks to modern cloud computing, are not reaping its full benefits. Management in the cloud, while seemingly simpler in some ways, is not without its own set of complexities and headaches. Admins want to streamline it where it makes sense and allocate the right resources to the right job in order to keeps cost in check, but where does one begin? ![]() English | 2021 | ISBN: 1098102363 | 481 pages | True PDF | 56.15 MB This practical book shows you how to employ machine learning models to extract information from images. 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