Machine Learning with R
By Brett Lantz
Publisher: Packt Publishing
Final Release Date: October 2013
Pages: 396

In Detail

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—a cross-platform, zero-cost statistical programming environment—there 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.

Approach

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 know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks.

Who this book is 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.

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oreillyMachine Learning with R
 
5.0

(based on 3 reviews)

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Pros

  • Concise (3)
  • Easy to understand (3)
  • Helpful examples (3)

Cons

    Best Uses

    • Intermediate (3)

    Reviewed by 3 customers

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    (1 of 1 customers found this review helpful)

     
    5.0

    Extremely Well Written & Easy to Follow

    By Brad

    from Northwest Arkansas, U.S.

    About Me Ai Enthusiast, Data Wrangler, Hobbyist

    Verified Reviewer

    Pros

    • Accurate
    • Concise
    • Easy to understand
    • Helpful examples
    • Well-written

    Cons

    • None

    Best Uses

    • Intermediate
    • Novice
    • Student

    Comments about oreilly Machine Learning with R:

    I was very pleasantly surprised with this book. It is EXTREMELY well written. It does a good job of helping someone with no "R" experience get up and running really quickly. I am also impressed with the nice background in statistics that it provides. This is also one of the best books about machine learning I have read. Get it! I think you will like it!

    (1 of 1 customers found this review helpful)

     
    5.0

    Useful Book

    By maryannet

    from Portland, Oregon

    About Me Data Scientist

    Verified Reviewer

    Pros

    • Accurate
    • Concise
    • Easy to understand
    • Helpful examples
    • Uses R

    Cons

    • Could Have More Details

    Best Uses

    • Intermediate

    Comments about oreilly Machine Learning with R:

    The code that comes with the book runs with having to fix it to make it work.

    (1 of 4 customers found this review helpful)

     
    5.0

    excellent title

    By ivan_smash

    from Mexico

    About Me Developer, Sys Admin

    Verified Buyer

    Pros

    • Concise
    • Easy to understand
    • Helpful examples

    Cons

      Best Uses

      • Expert
      • Intermediate

      Comments about oreilly Machine Learning with R:

      I highly recommend it especially for those who are initiating us in the way of scientific data.
      very well by OReilly

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