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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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Learning, with examples provided. The third is an explanation of the techniques and methods used in data visualization with R, which can be used to;
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Learning, with examples provided. The third is an explanation of the techniques and methods used in data visualization with R, which can be used to;
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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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students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the;
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students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the;
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shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with;
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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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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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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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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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Immunoinformatics of Cancers: Practical Machine Learning Approaches Using R takes a bioinformatics approach to understanding and;
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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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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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Behavior Analysis with Machine Learning Using R introduces machine learning and deep learning concepts and algorithms applied to a diverse;
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, mathematics, machine learning, and computer science, for most non-academics, data science looks like applying analysis techniques to answer key;
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book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful. What You Will;
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Includes implementation of machine learning models in R Help the analysts and developers to work efficiently with emerging technologies such as;
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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! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning;
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numerical examples. This book is suitable for anyone with undergraduate-level experience with probability, statistics, or machine learning and with;
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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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Understand deep learning, the nuances of its different models, and where these models can be applied. The abundance of data and demand for;
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, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.;
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analysts, and others who want to learn programming with R and Python from a data science perspective.;
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