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Data Science Techniques for Cryptocurrency

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Vitalsource Technologies Inc Data Science

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Elsevier Science Data Analysis in

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Elsevier Science Data Analysis in

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Elsevier Science Data Acquisition Techniques

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Springer Data Science Concepts and

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Hierarchical Linear Models Applications and

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Popular in the First Edition for its rich illustrative examples and lucid explanations of the theory and use of hierarchical linear models HLM the book has been reorganized into four parts with four completely new chapters The first two parts Part I on The Logic of Hierarchical Linear Modeling and Part II on Basic Applications closely parallel the first nine chapters of the previous edition with significant expansions and technical clarifications such as An intuitive introductory summary of the basic procedures for estimation and inference used with HLM models that only requires a minimal level of mathematical sophistication in Chapter 3 New section on multivariate growth models in Chapter 6 A discussion of research synthesis or metaanalysis applications in Chapter 7 Data analytic advice on centering of level1 predictors and new material on plausible value intervals and robust standard estimators

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Pearson Modeling Techniques in Predictive

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Oxford University Press Data Science

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Vitalsource Technologies Inc Emerging

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Vitalsource Technologies Inc Structural

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Vitalsource Technologies Inc Geospatial Data

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Data Science Foundations Tools and

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Connecting readers with great books since 1972 Used textbooks may not include companion materials such as access codes etc May have some wear or writinghighlighting We ship orders daily and Customer Service is our top priority

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Web and Network Data Science

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Master modern web and network data modeling both theory and applications In Web and Network Data Science a top faculty member of Northwestern Universitys prestigious analytics program presents the first fullyintegrated treatment of both the business and academic elements of web and network modeling for predictive analytics Some books in this field focus either entirely on business issues eg Google Analytics and SEO others are strictly academic covering topics such as sociology complexity theory ecology applied physics and economics This text gives todays managers and students what they really need integrated coverage of concepts principles and theory in the context of realworld applications Building on his pioneering Web Analytics course at Northwestern University Thomas W Miller covers usability testing Web site performance usage analysis social media platforms search engine optimization SEO and many other topics He balances this practical coverage w

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Discrete Data Analysis with R

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An Applied Treatment of Modern Graphical Methods for Analyzing Categorical Data Discrete Data Analysis with R Visualization and Modeling Techniques for Categorical and Count Data presents an applied treatment of modern methods for the analysis of categorical data both discrete response data and frequency data It explains how to use graphical methods for exploring data spotting unusual features visualizing fitted models and presenting results The book is designed for advanced undergraduate and graduate students in the social and health sciences epidemiology economics business statistics and biostatistics as well as researchers methodologists and consultants who can use the methods with their own data and analyses Along with describing the necessary statistical theory the authors illustrate the practical application of the techniques to a large number of substantive problems including how to organize data conduct an analysis produce informative graphs and evaluate what the graphs reveal about the data The first part of the book contains introductory material on graphical methods for discrete data basic R skills and methods for fitting and visualizing oneway discrete distributions The second part focuses on simple traditional nonparametric tests and exploratory methods for visualizing patterns of association in twoway and larger frequency tables The final part of the text discusses modelbased methods for the analysis of discrete data Web ResourceThe data sets and R software used including the authors own vcd and vcdExtra packages are available at httpcranrprojectorg

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Vitalsource Technologies Inc Introduction To

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Principles of Data Science Mathematical

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Vitalsource Technologies Inc Data Science

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Data Science Ethics Concepts Techniques

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Book is in UsedVeryGood condition Pages and cover are clean and intact Used items may not include supplementary materials such as CDs or access codes May show signs of minor shelf wear and contain very limited notes and highlighting 126

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