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Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse;
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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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networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using;
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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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skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data's behavior; develop;
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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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, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes;
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workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;
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workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data;
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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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analysis and forecasting using R packages such as Forecast and h2o Develop models and find patterns to create visualizations using the TSstudio and;
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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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Explore powerful R packages to create predictive models using ensemble methods Key Features Implement machine learning algorithms to build;
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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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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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techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised;
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Machine Design Analysis with MATLAB is a highly practical guide to the fundamental principles of machine design which covers the static;
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successful OBIEE implementation. Oracle Business Intelligence with Machine Learning covers various technologies including using Oracle OBIEE, R;
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Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming;
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interoperability with R libraries to accomplish variety of statistical and machine-learning tasks Computer programs in R and SAS that create AI framework;
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interoperability with R libraries to accomplish variety of statistical and machine-learning tasks Computer programs in R and SAS that create AI framework;
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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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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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Learning Services with R, as part of database solutions with continuous integration / continuous delivery. Book DescriptionR Services was one;
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Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to;
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