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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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Machine Learning with R

learns by example Prepare your data for machine learning work with the R programming language Classify important outcomes using nearest neighbor;

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Mastering Machine Learning with R -

learning methods using an extensive set of R packages such as XGBOOST * Understand the benefits and potential pitfalls of using machine learning;

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R

understand various data exploratory functions in R * Construct a predictive model by using a variety of machine learning packages Who This Book;

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Introduction to Machine Learning with R

guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll first start to learn with;

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R Machine Learning By Example

complex problems by using power-packed R constructs and its robust packages for machine learning * Learn to build your own machine learning;

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Hands-On Ensemble Learning with R

Explore powerful R packages to create predictive models using ensemble methods Key Features Implement machine learning algorithms to build;

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Mastering Machine Learning with R

application of Machine Learning methods using an extensive set of R packages * Understand the benefits and potential pitfalls of using machine;

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Practical Machine Learning with R

Understand how machine learning works and get hands-on experience of using R to build algorithms that can solve various real-world problems;

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Oracle Business Intelligence with Machine Learning

successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle OBIEE, R;

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Hands-On Deep Learning with R

Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and;

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Supervised Machine Learning for Text Analysis in R

workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;

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Supervised Machine Learning for Text Analysis in R

workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;

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Hands-On Machine Learning with R

apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to;

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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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Behavior Analysis with Machine Learning Using R

Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse;

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Just Enough R!

Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning;

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Just Enough R!

Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning;

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Learning Bayesian Models with R: Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems About This Book;

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R Deep Learning Cookbook

Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book * Master;

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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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Advanced Deep Learning with R

Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key;

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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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Applied Analytics through Case Studies Using SAS and R

predictive models and machine learning algorithms. Applied Analytics through Case Studies Using SAS and R is your answer to solving these business;

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R

R machine learning algorithms from scratch and be amazed to see the algorithms in action * Solve interesting real-world problems using;

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Apache Spark Machine Learning Blueprints

Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide About This Book * Customize;

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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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