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  • Book Overview & Buying Hands-On Data Science with R
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Hands-On Data Science with R

Hands-On Data Science with R

By : Doug Ortiz , Bianchi Lanzetta, Dasgupta, Farias
4 (1)
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Hands-On Data Science with R

Hands-On Data Science with R

4 (1)
By: Doug Ortiz , Bianchi Lanzetta, Dasgupta, 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)
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KDD, Data Mining, and Text Mining

"Certainty of death. Small chance of success. What are we waiting for?"
- Gimli, son of Gloin

Aside from being a buzzword, data mining is the analysis step from Knowledge Discovery in Databases (KDDs), which is concerned with uncovering hidden patterns from huge unstructured datasets. The term data mining doesn't define a single method, but a broad collection of used methods. Those methods range from linear regressions and clustering techniques, all the way to visualizations, random forests, and artificial intelligence methods.

You may have already noticed, but it's not that easy to set apart what data mining is from data science. I mostly think about data mining as something that data scientists are doing to big data (another...

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