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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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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

Azure registration

From hereafter, we will be dealing directly with the Azure platform. While the current section will deal with registration, the next one will be a practical approach to Machine Learning Studio. Although I could do all of this without being charged a single penny, you could be if either the rules changed or you missed something.

If you are not confident about signing in and toying around Azure, feel free to just read the next steps and not put them into practice. We won't deal with big data and or heavy computation, so even for the full price, what this chapter will be teaching is unlikely to be expensive. On the other hand, mistakes do happen, and cloud mistakes can turn out to be uneconomical.

If you never used Azure before, that is great news. New users qualify to the free-tier usage. The free tier is not appropriate for large-scale production, but might...

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