Rabu, 29 Juni 2016

>>Where To Read: Machine Learning with R - Second Edition

Read And Download Machine Learning with R - Second Edition

Machine Learning with R - Second Edition Books Title: Where To Download Machine Learning with R - Second Edition
Available File Format : PDF, DOC, ePUB, RTF
Author: By Brett Lantz
ISBN: 1784393908

WHY READ THIS BOOKS ?
Made for students, teachers and enthusiastic readers, this free literature library offers over 1,900 books, 3,000 short stories and a huge selection of poems. Users may also access free author biographies and quizzes. You can find more than 30,000 free books on the University of Pennsylvania's Online Books Page. Search books by author or title.

Download PDF Machine Learning with R - Second Edition

Product Detail :

  • Amazon Sales Rank: #64032 in Books
  • Published on: 2015-08-03
  • Released on: 2015-07-31
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.25" h x 1.02" w x 7.50" l, 1.70 pounds
  • Binding: Paperback
  • 454 pages

Key Features

  • Harness the power of R for statistical computing and data science
  • Explore, forecast, and classify data with R
  • Use R to apply common machine learning algorithms to real-world scenarios

Book Description

Machine learning, at its core, is concerned with transforming data into actionable knowledge. This makes machine learning well suited to the present-day era of big 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. Whether you are new to data analytics or a veteran, machine learning with R offers a powerful set of methods to quickly and easily gain insights from your data.

Want to turn your data into actionable knowledge, predict outcomes that make real impact, and have constantly developing insights? R gives you access to the cutting-edge power you need to master exceptional machine learning techniques.

Updated and upgraded to the latest libraries and most modern thinking, the second edition of Machine Learning with R provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with minimal previous experience.

With this book you’ll discover all the analytical tools you need to gain insights from complex data and learn how to to choose the correct algorithm for your specific needs. Through full engagement with the sort of real-world problems data-wranglers face, you’ll learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, market analysis, and clustering. Transform the way you think about data; discover machine learning with R.

What you will learn

  • Harness the power of R to build common machine learning algorithms with real-world data science applications
  • Get to grips with R techniques to clean and prepare your data for analysis, and visualize your results
  • Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems
  • Classify your data with Bayesian and nearest neighbour methods
  • Predict values by using R to build decision trees, rules, and support vector machines
  • Forecast numeric values with linear regression, and model your data with neural networks
  • Evaluate and improve the performance of machine learning models
  • Learn specialized machine learning techniques for text mining, social network data, big data, and more

About the Author

Brett Lantz has used innovative data methods to understand human behavior for more than 10 years. A sociologist by training, he was first enchanted by machine learning while studying a large database of teenagers' social networking website profiles. Since then, he has worked on the interdisciplinary studies of cellular telephone calls, medical billing data, and philanthropic activity, among others.

Table of Contents

  1. Introducing Machine Learning
  2. Managing and Understanding Data
  3. Lazy Learning – Classification Using Nearest Neighbors
  4. Probabilistic Learning – Classification Using Naive Bayes
  5. Divide and Conquer – Classification Using Decision Trees and Rules
  6. Forecasting Numeric Data – Regression Methods
  7. Black Box Methods – Neural Networks and Support Vector Machines
  8. Finding Patterns – Market Basket Analysis Using Association Rules
  9. Finding Groups of Data – Clustering with K-means
  10. Evaluating Model Performance
  11. Improving Model Performance
  12. Specialized Machine Learning Topics

=========== HOW TO GET UNLIMITED ACCES BOOKS? ===========
Easy, you just Klick Download Free Machine Learning with R - Second Edition book download link on these pages and you is going to be directed tothe free registration form. after the free registration you will be able to download the book in 4 format. PDF Formatted 8.5 x all pages,EPub Reformatted specifically for book readers, Mobi For Kindle which was converted from the EPubfile, Word, The first source document. Format it however you want !.
Please register at PLAYSTER for free trial account for read and unlimited books download.

This Page is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.comCERTAIN CONTENT THAT APPEARS ON THIS SITE COMES FROM AMAZON SERVICES LLC. THIS CONTENT IS PROVIDED "AS IS" AND IS SUBJECT TO CHANGE OR REMOVAL AT ANY TIME.

Tidak ada komentar:

Posting Komentar