Machine Learning with R: R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required ‚Äì this book will take you methodically through every stage of applying machine learning.

Brett Lantz

$60.99

4.4 (73 Ratings)

Paperback Oct 2013 396 pages 1st Edition

Brett Lantz

$60.99

4.4 (73 Ratings)

Paperback Oct 2013 396 pages 1st Edition

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Key benefits

Harness the power of R for statistical computing and data science
Use R to apply common machine learning algorithms with real-world applications
Prepare, examine, and visualize data for analysis
Understand how to choose between machine learning models
Packed with clear instructions to explore, forecast, and classify data

Description

Machine learning, at its core, is concerned with transforming data into actionable knowledge. This fact makes machine learning well-suited to the present-day era of "big data" and "data science". Given the growing prominence of R‚Äîa cross-platform, zero-cost statistical programming environment‚Äîthere has never been a better time to start applying machine learning. Whether you are new to data science or a veteran, machine learning with R offers a powerful set of methods for quickly and easily gaining insight from your data. "Machine Learning with R" is a practical tutorial that uses hands-on examples to step through real-world application of machine learning. Without shying away from the technical details, we will explore Machine Learning with R using clear and practical examples. Well-suited to machine learning beginners or those with experience. Explore R to find the answer to all of your questions. How can we use machine learning to transform data into action? Using practical examples, we will explore how to prepare data for analysis, choose a machine learning method, and measure the success of the process. We will learn how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering. By applying the most effective machine learning methods to real-world problems, you will gain hands-on experience that will transform the way you think about data. "Machine Learning with R" will provide you with the analytical tools you need to quickly gain insight from complex data.

Who is this book for?

Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.

What you will learn

Understand the basic terminology of machine learning and how to differentiate among various machine learning approaches
Use R to prepare data for machine learning
Explore and visualize data with R
Classify data using nearest neighbor methods
Learn about Bayesian methods for classifying data
Predict values using decision trees, rules, and support vector machines
Forecast numeric values using linear regression
Model data using neural networks
Find patterns in data using association rules for market basket analysis
Group data into clusters for segmentation
Evaluate and improve the performance of machine learning models
Learn specialized machine learning techniques for text mining, social network data, and ‚Äúbig‚Äù data

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What do you get with Print?

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Frequently bought together

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Total $ 170.97

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Amazon verified reviews

Leif C. Ulstrup Nov 16, 2014

I have a large collection of books on programming, R, and machine learning and I am constantly looking for new material on state of the art practices related to data science. I think this is one of the best in terms of readability, straightforward and practical examples that demonstrate the key concepts in real-world terms, and up-to-date information about the use of advanced R packages for parallel processing and very large datasets. Unlike many other books on the subject, author Brett Lantz presents the material in a crisp and clear manner and does an excellent job integrating the machine learning concepts, underlying statistical foundations, R programming constructs, and practical examples. I think this will be a constant reference in my work. I look forward to future publications from this author and hope he has a blog or other means to keep up with his ideas and insights.

Amazon Verified review

Leon Shernoff Jul 10, 2015

A well-designed book which is organized as a tour of different kinds of machine learning. The order in which the learners are treated is a little unusual, but it does a good job of bringing up the more abstract issues in a way that makes them easy to understand.

Amazon Customer Feb 16, 2016

Really good application in R for beginners. You can get understand it even if you know nothing about ML or R language. But if you want to get more detailed information about the methods, like algorithms etc. This is not a good choice.

Kurt J. Aug 19, 2016

I really liked this book. Very well written and instructive. I had a decent knowledge of R and got A's in classes at college, but I learned more about it with this book. It taught me a good bit about the topic, all the things I really wanted to know that weren't covered in my statistics master's program. I took a week off work and covered it by spending about 2-4 hours a day. I feel like I added a skill. I'm ready to go back and see where I can apply supervised and unsupervised learning algorithms to my job.

John L. Whiteman Sep 14, 2014

I would recommend this book for those who are new to machine learning and want to learn R. Each chapter starts with a core machine learning concept that Lantz presents in a very readable manner. The exercises that follow put these concepts into practice with just the right amount of R. I am currently enrolled in a machine learning course at a university. As students we could choose any language, so I decided to go with R. This book has helped me to feel good about my decision.

Machine Learning with R: R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required ‚Äì this book will take you methodically through every stage of applying machine learning.

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