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)

Daily neural nets

Deep learning models are the typical models of this big data era. They are data hungry; nowadays, there is tons of data to be processed. Also, they are computational requesting compared to the traditional linear regression models; older computers were not able to train useful networks. They only turned out to be feasible after the development of the first backpropagation algorithms, along with some computational advancements.

One of the first NN breakthroughs that earned great respect in the community was the outstanding performance achieved by a Deep Convolutional Neural Network during the LSVRC-2010 contest. Such a contest aimed to classify 1.2 million high-resolution images into 1,000 different classes.

After the 2010 breakthrough, NNs became one of the most popular models in the Artificial Intelligence (AI) field.

Back in those days, such a model took around...