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Clearly Visual Basic (R)

Learning to program with Microsoft (R) Visual Basic has never been easier! CLEARLY VISUAL BASIC: PROGRAMMING WITH MICROSOFT (R) VISUAL;

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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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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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Learning Programming Using MATLAB

steps required for writing a program, introducing the MATLABr (R) constructs in the process. MATLABr (R) is used to teach programming because it;

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A Tour of Data Science

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;

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A Tour of Data Science

A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;

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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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Learning R Programming

and statistics. Powerful but complex, R can be challenging for beginners and those unfamiliar with its unique behaviors. Learning R;

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Machine Learning with R, tidyverse, and mlr

Machine Learning with R, tidyverse, and mlr teaches readers how to gain valuable insights from their data using the powerful R programming;

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R Machine Learning Essentials

If you want to learn how to develop effective machine learning solutions to your business problems in R, this book is for you. It would be;

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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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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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Programming Graphical User Interfaces in R

Programming Graphical User Interfaces with R introduces each of the major R packages for GUI programming: RGtk2, qtbase, Tcl/Tk, and;

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MATLAB (R) for Electrical and Computer Engineering Students and Professionals

, where learning MATLAB (R) programming is strongly emphasized. A first course in calculus, usually taken concurrently, is essential. The book;

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Learning R for Geospatial Analysis

This book is intended for anyone who wants to learn how to efficiently analyze geospatial data with R, including GIS analysts, researchers;

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Practical Machine Learning in R

Guides professionals and students through the rapidly growing field of machine learning with hands-on examples in the popular R programming;

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Immunoinformatics of Cancers

Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R takes a bioinformatics approach to understanding and;

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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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C# Programming

reflect the latest updates in Visual Studio (R) 2012, while learning objectives, case studies and Coding Standards summaries in each chapter;

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Advanced R Statistical Programming and Data Models

, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes;

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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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A First Course in Statistical Programming with R

packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the Box-Muller and Metropolis;

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Programming with Microsoft Visual Basic 2017

-on applications in this book's engaging real-world setting. PROGRAMMING WITH MICROSOFT (R) VISUAL BASIC (R) 2017, 8E by best-selling;

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Artificial Intelligence and Learning Environments

Learning Environments, William J. Clancey, Elliot Soloway * Cognitive Modeling and Intelligence Tutoring, John R. Anderson, C. Franklin Boyle;

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Introduction to Deep Learning Using R

. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the;

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Learn R for Applied Statistics

Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and;

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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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