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R Machine Learning Projects

You're reading from R Machine Learning Projects

Product type Book

Published in Jan 2019

Publisher Packt

ISBN-13 9781789807943

Pages 334 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Author (1):

Dr. Sunil Kumar Chinnamgari

Table of Contents (12) Chapters

Preface

1. Exploring the Machine Learning Landscape

2. Predicting Employee Attrition Using Ensemble Models

3. Implementing a Jokes Recommendation Engine

4. Sentiment Analysis of Amazon Reviews with NLP

5. Customer Segmentation Using Wholesale Data

6. Image Recognition Using Deep Neural Networks

7. Credit Card Fraud Detection Using Autoencoders

8. Automatic Prose Generation with Recurrent Neural Networks

9. Winning the Casino Slot Machines with Reinforcement Learning

10. The Road Ahead

11. Other Books You May Enjoy

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Building AEs with the H2O library in R

We will be using the AE implementation available in H2O for our project. H2O is a fully open source, distributed, in-memory ML platform with linear scalability. It offers parallelized implementations of some of the most widely used ML algorithms. It supports an easy to use, unsupervised, and non-linear AE as part of its deep learning model. The DL AE of H2O is based on the multilayer neural net architecture, where the entire network is trained together, instead of being stacked layer by layer.

The h2o package can be installed in R with the following command:

install.packages("h2o")

Additional details on the installation and dependencies of H2O in R are available at this URL: https://cran.r-project.org/web/packages/h2o/index.html.

Once the package is installed successfully, the functions offered by the h2o package, including the...

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Authors (1)

Dr. Sunil Kumar Chinnamgari

Dr. Sunil Kumar Chinnamgari has a Ph.D. in computer science and specializes in machine learning and natural language processing. He is an AI researcher with more than 14 years of industry experience. Currently, he works in the capacity of lead data scientist with a US financial giant. He has published several research papers in Scopus and IEEE journals and is a frequent speaker at various meetups. He is an avid coder and has won multiple hackathons. In his spare time, Sunil likes to teach, travel, and spend time with family.

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