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Learning Microeconometrics with R

accurately Utilizes interesting real-world data sets that can be used to analyze important microeconomic problems Introduces R programming;

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Financial Microeconometrics: A Research Methodology in Corporate Finance and Accounting

researchers, practitioners and students who are not yet familiar with the variety of approaches available for data analysis and microeconometrics;

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Microeconometrics

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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Microeconometrics Using Stata

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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Spatial Microeconometrics

individuals with respect to traditional econometrics that treat their locational choices as exogenous and their economic behavior as independent;

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Spatial Microeconometrics

individuals with respect to traditional econometrics that treat their locational choices as exogenous and their economic behavior as independent;

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Machine Learning with R

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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Microeconometrics

Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within th;...

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Microeconometrics

Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within th;...

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Machine Learning Using R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;

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R

Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning About This Book;

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Bayesian Non- and Semi-parametric Methods and Applications

specific distributional assumptions are replaced with more flexible distributions based on mixtures of normals. The Bayesian approach can use;

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Mastering Machine Learning with R -

Master machine learning techniques with R to deliver insights in complex projects About This Book * Understand and apply machine;

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R Deep Learning Essentials

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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Deep Learning with R for Beginners

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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Advanced Deep Learning with R

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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New Perspectives Microsoft (R)Office 365 & PowerPoint (R) 2016

use each app. With an unmatched emphasis on learning outcomes and transference of skills, NEW PERSPECTIVES MICROSOFT (R) OFFICE 365;

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Mastering Machine Learning with R

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

Applied Econometrics for Health Economists introduces readers to the appropriate econometric techniques for use with different forms;

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Machine Learning with R Cookbook

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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R

Find out how to build smarter machine learning systems with R. Follow this three module course to become a more fluent machine learning;

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SQL Server 2017 Machine Learning Services with R

Learning Services with R, as part of database solutions with continuous integration / continuous delivery. Book DescriptionR Services was one;

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R Graphs Cookbook

in learning effective data visualization techniques with R and a wide-range of its associated libraries.;

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R Machine Learning By Example

Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems;

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Machine Learning With R

COM018000;...

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Mathematics and Programming for Machine Learning with R

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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