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)

Large Scale Data Analytics with Hadoop

"Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway."
– Geoffrey Moore

Hadoop is an open source software developed by Apache for distributed computing, allowing analysis of big datasets in a secure way. It departs from the principle that every kind of machine has faults that happen often so they need to be cured by the software. Spark is a similar tool, being another kind of big data structure developed by Apache. But while the focus of Hadoop is secure data storage, the focus of Spark is data processing. They are different entities, but they mess things up, mainly because Spark is often used to process data held in Hadoop's filesystem.

In this...