Hands-On Machine Learning with R by Brad Boehmke
This book is designed to introduce the concept of advanced business analytic approaches and would the first to cover the gamut of how to use the R programming language to apply descriptive, predictive, and prescriptive analytic methodologies for problem solving.-
Advanced R
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Using R for Introductory Statistics
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R Markdown
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Statistical Computing with R, Second Edition
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Graphical Data Analysis with R
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Introduction to Scientific Programming and Simulation Using R
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Advanced R, Second Edition
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Extending R
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Reproducible Research with R and R Studio
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Work Automation with R
- R for Social Network Analysis
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Stated Preference Methods Using R
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Introduction to Forestry Data Analysis with R
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Simulation and Power Analysis Using R
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R and MATLAB
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The Essentials of Data Science: Knowledge Discovery Using R
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blogdown
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Statistical Computing in C++ and R
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Model-Based Clustering, Classification, and Density Estimation Using mclust in R
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Using R for Modelling and Quantitative Methods in Fisheries
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Analyzing Baseball Data with R
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Parallel Computing for Data Science
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Computational Actuarial Science with R
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Using the R Commander
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Implementing Reproducible Research
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R for Conservation and Development Projects
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Distributions for Modeling Location, Scale, and Shape
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Interactive Web-Based Data Visualization with R, plotly, and shiny
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R Markdown Cookbook
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Learn R
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Interactively Exploring High-Dimensional Data and Models in R
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Displaying Time Series, Spatial, and Space-Time Data with R
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Copula Additive Distributional Regression Using R
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Introductory Fisheries Analyses with R
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Introduction to Political Analysis in R
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Engineering Production-Grade Shiny Apps
"Hands-On Machine Learning with R is a great resource for understanding and applying modelsEach section provides descriptions and instructions using a wide range of R packages."
- Max Kuhn, Machine Learning Software Engineer, RStudio
"You can't find a better overview of practical machine learning methods implemented with R."
- JD Long, co-author of R Cookbook
"Simultaneously approachable, accessible, and rigorous, Hands-On Machine Learning with R offers a balance of theory and implementation that can actually bring you from relative novice to competent practitioner."
- Mara Averick, RStudio Dev Advocate
"Hands-On Machine Learning with R is a great resource for understanding and applying models. Each section provides descriptions and instructions using a wide range of R packages."
- Max Kuhn, Machine Learning Software Engineer, RStudio
"You can't find a better overview of practical machine learning methods implemented with R."
- JD Long, co-author of R Cookbook
"Simultaneously approachable, accessible, and rigorous, Hands-On Machine Learning with R offers a balance of theory and implementation that can actually bring you from relative novice to competent practitioner."
- Mara Averick, RStudio Dev Advocate
"...The book describes in detail the various methods for solving classification and clustering problems. Functions from many R libraries are compared, which enables the reader to understand their respective advantages and disadvantages. The authors have developed a clear structure to the book that includes a brief description of each model, examples of using the model for specific real-life examples, and discussion of the advantages and disadvantages of the model. This structure is one of the book’s main advantages."
- Igor Malyk, ISCB News, July 2020
Brad Boehmke is a data scientist at 84.51° where he wears both software developer and machine learning engineer hats. He is an Adjunct Professor at the University of Cincinnati, author of Data Wrangling with R, and creator of multiple public and private enterprise R packages.
Brandon Greenwell is a data scientist at 84.51° where he works on a diverse team to enable, empower, and encourage others to successfully apply machine learning to solve real business problems. He’s part of the Adjunct Graduate Faculty at Wright State University, an Adjunct Instructor at the University of Cincinnati, and the author of several R packages available on CRAN.
| SKU | Unavailable |
| ISBN 13 | 9781138495685 |
| ISBN 10 | 1138495689 |
| Title | Hands-On Machine Learning with R |
| Author | Brad Boehmke |
| Series | Chapman And Hall Crc The R Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2019-11-11 |
| Number of pages | 484 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |