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accurately Utilizes interesting real-world data sets that can be used to analyze important microeconomic problems Introduces R programming;
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researchers, practitioners and students who are not yet familiar with the variety of approaches available for data analysis and microeconometrics;
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understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second;
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command, emphasizing both marginal effects at the means and average marginal effects. They also replace the xi command with factor variables;
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individuals with respect to traditional econometrics that treat their locational choices as exogenous and their economic behavior as independent;
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individuals with respect to traditional econometrics that treat their locational choices as exogenous and their economic behavior as independent;
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Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine;
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Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within th;...
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Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within th;...
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Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;
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specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. The Bayesian approach can use;
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Master machine learning techniques with R to deliver insights in complex projects About This Book * Understand and apply machine;
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algorithms for unsupervised data using deep learning concepts with R * Master the common problems faced such as overfitting of data, anomalous;
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Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key Features Get to grips with the;
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branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. Advanced Deep Learning with R will;
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use each app. With an unmatched emphasis on learning outcomes and transference of skills, NEW PERSPECTIVES MICROSOFT (R) OFFICE 365;
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Master machine learning techniques with R to deliver insights for complex projects About This Book * Get to grips with the;
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Applied Econometrics for Health Economists introduces readers to the appropriate econometric techniques for use with different forms;
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If you want to learn how to use R for machine learning and gain insights from your data, then this book is ideal for you. Regardless;
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engineers to understand Bayesian methods and apply them in their projects to achieve better results. Learning Bayesian Models with R starts by;
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Learning Services with R, as part of database solutions with continuous integration / continuous delivery. Book DescriptionR Services was one;
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in learning effective data visualization techniques with R and a wide-range of its associated libraries.;
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Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems;
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Based on the author's experience in teaching data science for more than 10 years, Mathematics and Programming for Machine Learning with R;
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