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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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Resolving and offering solutions to your machine learning problems with R About This Book * Implement a wide range of algorithms and;
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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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Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;
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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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Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems;
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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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. With the help of this book, you will be proficient in using TensorFlow, understand deep learning from the basics, and be able to implement;
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approach to dealing with real-world machine learning and deep learning tasks. With the help of over 100 recipes, you will learn to build powerful;
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Big Data with R Server and SQL R Services. See full details at: microsoft.comlearning;
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Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this comprehensive cookbook;
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in learning effective data visualization techniques with R and a wide-range of its associated libraries.;
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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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learning packages and libraries in R. It will be starting with different packages in Deep Learning to neural networks and structures. You will also;
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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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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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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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of ensemble machine learning such as boosting, bagging, and stacking. The Ensemble Machine Learning Cookbook will start by getting you acquainted with;
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Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;
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Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies;
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Ensemble Learning with R begins with the important statistical resampling methods. You will then walk through the central trilogy of ensemble;
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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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