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R Deep Learning Cookbook

You're reading from R Deep Learning Cookbook

Product type Book

Published in Aug 2017

Publisher Packt

ISBN-13 9781787121089

Pages 288 pages

Edition 1st Edition

Languages

Concepts

Authors (2):

PKS Prakash

Achyutuni Sri Krishna Rao

View More author details

Table of Contents (17) Chapters

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Getting Started

2. Deep Learning with R

3. Convolution Neural Network

4. Data Representation Using Autoencoders

5. Generative Models in Deep Learning

6. Recurrent Neural Networks

7. Reinforcement Learning

8. Application of Deep Learning in Text Mining

9. Application of Deep Learning to Signal processing

10. Transfer Learning

Introducing the dataset

This recipe shows how to prepare a dataset to be used to demonstrate different models.

Getting ready

As logistic regression is a linear classifier, it assumes linearity in independent variables and log odds. Thus, in scenarios where independent features are linear-dependent on log odds, the model performs very well. Higher-order features can be included in the model to capture nonlinear behavior. Let's see how to build logistic regression models using major deep learning packages as discussed in the previous chapter. Internet connectivity will be required to download the dataset from the UCI repository.

How to do it...

In this chapter, the Occupancy Detection dataset from the UC Irivine ML repository is used to build models on logistic regression and neural networks. It is an experimental dataset primarily used for binary classification to determine whether a room is occupied (1) or not occupied (0) based on multivariate predictors as described in the following table...

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Authors (2)

PKS Prakash

Dr. PKS Prakash is a data scientist and author. He has spent the last 12 years in developing many data science solutions in several practical areas in healthcare, manufacturing, pharmaceuticals, and e-commerce. He currently works as the data science manager at ZS Associates. He is the co-founder of Warwick Analytics, a spin-off from University of Warwick, UK. Prakash has published articles widely in research areas of operational research and management, soft computing tools, and advanced algorithms in leading journals such as IEEE-Trans, EJOR, and IJPR, among others. He has edited an article on Intelligent Approaches to Complex Systems and contributed to books such as Evolutionary Computing in Advanced Manufacturing published by WILEY and Algorithms and Data Structures using R and R Deep Learning Cookbook, published by PACKT.

See other products by PKS Prakash

Achyutuni Sri Krishna Rao

Achyutuni Sri Krishna Rao is a Data Scientist, a Civil Engineer and an Author. He has spent last 4 years in developing many data science solutions to solve problems from leading companies in healthcare, pharmaceutical and manufacturing domain. He is working as Data Science Consultant at ZS Associates. Sri Krishnas background involves a masters in Enterprise Business Analytics and Machine Learning from National University of Singapore, Singapore. His other educational background involves a Bachelors from National Institute of Technology Warangal, India. Sri Krishna has published widely in research areas of civil engineering. He has contributed in a book titled Algorithms and Data Structures using R published by PACKT.

See other products by Achyutuni Sri Krishna Rao

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