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Hands-On Data Science with R

You're reading from   Hands-On Data Science with R Techniques to perform data manipulation and mining to build smart analytical models using R

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789139402
Length 420 pages
Edition 1st Edition
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Authors (4):
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Nataraj Dasgupta Nataraj Dasgupta
Author Profile Icon Nataraj Dasgupta
Nataraj Dasgupta
Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Author Profile Icon Vitor Bianchi Lanzetta
Vitor Bianchi Lanzetta
Doug Ortiz Doug Ortiz
Author Profile Icon Doug Ortiz
Doug Ortiz
Ricardo Anjoleto Farias Ricardo Anjoleto Farias
Author Profile Icon Ricardo Anjoleto Farias
Ricardo Anjoleto Farias
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Toc

Table of Contents (16) Chapters Close

Preface 1. Getting Started with Data Science and R FREE CHAPTER 2. Descriptive and Inferential Statistics 3. Data Wrangling with R 4. KDD, Data Mining, and Text Mining 5. Data Analysis with R 6. Machine Learning with R 7. Forecasting and ML App with R 8. Neural Networks and Deep Learning 9. Markovian in R 10. Visualizing Data 11. Going to Production with R 12. Large Scale Data Analytics with Hadoop 13. R on Cloud 14. The Road Ahead 15. Other Books You May Enjoy

Meeting Stack Overflow

Stack Overflow is a powerful tool and, thankfully, learning how to use it is quite straightforward. This book is obviously focused on coding and data science, and so will be this introductory guide, but keep in mind that Stack Overflow can help you solve matters from practically any field of knowledge— cooking, grammar, literature, job interviews, chemistry... the list goes on and on.

There are basically three ways you can use Stack Overflow:

  • You ask others for help—queries you may have or things that are troubling you
  • You help others by solving their problems—answer their queries or overcome their bugs
  • Seek a job

This book has a clear goal to teach practical machine learning with R; the next tips will be more directly related to programming and data science but can be generalized to other fields with some minor adjustments. If you...

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