Book Image

Hands-On Data Science with R

By : Vitor Bianchi Lanzetta, Doug Ortiz, Nataraj Dasgupta, Ricardo Anjoleto Farias
Book Image

Hands-On Data Science with R

By: Vitor Bianchi Lanzetta, Doug Ortiz, Nataraj Dasgupta, Ricardo Anjoleto Farias

Overview of this book

R is the most widely used programming language, and when used in association with data science, this powerful combination will solve the complexities involved with unstructured datasets in the real world. This book covers the entire data science ecosystem for aspiring data scientists, right from zero to a level where you are confident enough to get hands-on with real-world data science problems. The book starts with an introduction to data science and introduces readers to popular R libraries for executing data science routine tasks. This book covers all the important processes in data science such as data gathering, cleaning data, and then uncovering patterns from it. You will explore algorithms such as machine learning algorithms, predictive analytical models, and finally deep learning algorithms. You will learn to run the most powerful visualization packages available in R so as to ensure that you can easily derive insights from your data. Towards the end, you will also learn how to integrate R with Spark and Hadoop and perform large-scale data analytics without much complexity.
Table of Contents (16 chapters)

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...