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)

Summary

This chapter's brief example was meant to introduce the reader to the matter of the Markovian models, especially the HMMs. Keep in mind that this broader class of models has applications in several distinct fields, from traditional ones to the newest.

A single chapter dedicated to the HMM might be too small to contain the vast world within Markov and the reader may feel as if it has gone too fast. Nonetheless, I encourage you to keep studying this subject because such models encounter great acceptance, both among scholars and businessmen.

Over the next chapter, we will be learning about data visualization and ways to improve plots, retrieve data, and prepare data. Go through the quiz before advancing into the chapter ahead.