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This book covers Big Data, Machine Learning, and Artificial Intelligences related technologies and how these technologies can enable design,... Læs mere
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The Sharpe Ratio: Statistics and Applications is an essential reference for the practicing quant strategist and the researcher alike, and an invaluable textbook for the student. It is the most widely used metric for comparing the performance of financial assets.
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This is the second edition of a popular graduate level textbook on time series modeling, computation and inference. The book is essentially unique in its approach, with a focus on Bayesian methods, although classical methods are also covered.
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This book describes algorithms like Locally Linear Embedding, Laplacian... Læs mere
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The authors describe a social media index for measuring subjective well-being, relying on the availability of big data sources provided by the social networking... Læs mere
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‘Machine Learning for Knowledge Discovery with R’ contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes most recent supervised and unsupervised machine learning methodologies
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Find out how your county or city measures up with others across the United States! Updated annually to guarantee convenient access to... Læs mere
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Forecasting and Analytics with ADAM focuses on a time series model in Single Source of Error state space form, called “ADAM”... Læs mere
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This book unifies diverse regression applications including the classical model, ANOVA models, generalized models including Poisson, Negative binomial, logistic, and survival, neural networks and decision trees under a common umbrella; namely, the conditional distribution model.
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