Mastering Machine Learning with R, by Cory Lesmeister
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Mastering Machine Learning with R, by Cory Lesmeister
Ebook PDF Mastering Machine Learning with R, by Cory Lesmeister
Master machine learning techniques with R to deliver insights for complex projects
About This Book
- Get to grips with the application of Machine Learning methods using an extensive set of R packages
- Understand the benefits and potential pitfalls of using machine learning methods
- Implement the numerous powerful features offered by R with this comprehensive guide to building an independent R-based ML system
Who This Book Is For
If you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistical or machine learning will prove helpful.
What You Will Learn
- Gain deep insights to learn the applications of machine learning tools to the industry
- Manipulate data in R efficiently to prepare it for analysis
- Master the skill of recognizing techniques for effective visualization of data
- Understand why and how to create test and training data sets for analysis
- Familiarize yourself with fundamental learning methods such as linear and logistic regression
- Comprehend advanced learning methods such as support vector machines
- Realize why and how to apply unsupervised learning methods
In Detail
Machine learning is a field of Artificial Intelligence to build systems that learn from data. Given the growing prominence of R―a cross-platform, zero-cost statistical programming environment―there has never been a better time to start applying machine learning to your data.
The book starts with introduction to Cross-Industry Standard Process for Data Mining. It takes you through Multivariate Regression in detail. Moving on, you will also address Classification and Regression trees. You will learn a couple of “Unsupervised techniques”. Finally, the book will walk you through text analysis and time series.
The book will deliver practical and real-world solutions to problems and variety of tasks such as complex recommendation systems. By the end of this book, you will gain expertise in performing R machine learning and will be able to build complex ML projects using R and its packages.
Style and approach
This is a book explains complicated concepts with easy to follow theory and real-world, practical applications. It demonstrates the power of R and machine learning extensively while highlighting the constraints.
Mastering Machine Learning with R, by Cory Lesmeister- Amazon Sales Rank: #1432697 in Books
- Published on: 2015-11-02
- Released on: 2015-10-28
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .91" w x 7.50" l, 1.51 pounds
- Binding: Paperback
- 400 pages
About the Author
Cory Lesmeister
Cory Lesmeister currently works as an advanced analytics consultant for Clarity Solution Group, where he applies the methods in this book to solve complex problems and provide actionable insights. Cory spent 16 years at Eli Lilly and Company in sales, market research, Lean Six Sigma, marketing analytics, and new product forecasting. A former U.S. Army Reservist, Cory was in Baghdad, Iraq, in 2009 as a strategic advisor to the 29,000-person Iraqi oil police, where he supplied equipment to help the country secure and protect its oil infrastructure. An aviation aficionado, Cory has a BBA in aviation administration from the University of North Dakota and a commercial helicopter license. Cory lives in Carmel, IN, with his wife and their two teenage daughters.
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Most helpful customer reviews
7 of 7 people found the following review helpful. Poor By Dimitri Shvorob Even a dog can publish a book with Packt: the publisher operates a no-editors, no-graphic-designers, no-standards business model and publishes anything by anybody, hoping that something sticks. In the hot "data science / machine learning" segment, Packt met 2015 with a bang, churning out the god-awful "Learning Data Mining with R" by Makhabel and "R for Data Science" by Toomey. Then four more titles came out:"Mastering Predictive Analytics with R" by Forte, $45"Mastering Machine Learning with R" by Lesmeister, $40"R Data Analysis Cookbook" by Viswanathan and Viswanathan, $40"Machine Learning with R Cookbook" by Yu-Wei, $40I checked them out and, long story short, "Mastering Machine Learning with R" is the stinker of the bunch. It is not as bad as Makhabel's or Toomey's, but, like those two, it is a low-quality, unoriginal book by an author with rudimentary, informal statistics/machine-learning education, regurgitating something he had read in a better book. You just don't have to settle for this - even sticking to Packt's catalog, the books by Forte and Lantz are two far superior options.PS. If you see any odd things in "Comments", that's probably the psycho who has spent days posting offensive comments to my reviews - only for them to be deleted by Amazon - after I criticized an iffy Packt book promoted with questionable five-star reviews. ("R Machine Learning By Example" by Bali and Sarkar, if you are wondering). As long as you know that his "Dimitri Shvorob" is fake, there isn't much harm he can do.
2 of 3 people found the following review helpful. The only book you need on Machine Learning! By Daniel B. Five stars !!Got on my hands on this only a couple days back.This book is helping me solve read-world Machine Learning problems which I was stuck with working on complex projects.I was excited to see coverage of Neural networks and particularly deep learning (H2O finds coverage) which is in rage nowadays.
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