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R Deep Learning Projects

You're reading from  R Deep Learning Projects

Product type Book
Published in Feb 2018
Publisher Packt
ISBN-13 9781788478403
Pages 258 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (11) Chapters

Title Page
Packt Upsell
Contributors
Preface
1. Handwritten Digit Recognition Using Convolutional Neural Networks 2. Traffic Sign Recognition for Intelligent Vehicles 3. Fraud Detection with Autoencoders 4. Text Generation Using Recurrent Neural Networks 5. Sentiment Analysis with Word Embeddings 1. Other Books You May Enjoy Index

Contributors

About the authors

Yuxi (Hayden) Liu is currently an applied research scientist focused on developing machine learning models and systems for given learning tasks. He has worked for a few years as a data scientist, and applied his machine learning expertise in computational advertising. He earned his degree from the University of Toronto, and published five first-authored IEEE transaction and conference papers during his research. His first book, titled Python Machine Learning By Example, was ranked the #1 bestseller in Amazon India in 2017. He is also a machine learning education enthusiast.

 

 

 

Pablo Maldonado is an applied mathematician and data scientist with a taste for software development since his days of programming BASIC on a Tandy 1000. As an academic and business consultant, he spends a great deal of his time building applied artificial intelligence solutions for text analytics, sensor and transactional data, and reinforcement learning. Pablo earned his PhD in applied mathematics (with focus on mathematical game theory) at the Universite Pierre et Marie Curie in Paris, France.

This book would not have been possible without the continuous feedback from my students from lectures and seminars in Mexico, Czech Republic, and Ukraine. Teaching has taught me a great deal!

 

About the reviewer

Davor Lozić is an engineer who works mostly on software architecture and distributed systems. He found R by doing a lot of fun predictions with data from distributed systems and user events, and continues using it for statistical modeling. He is also a professor at the University of Zagreb, where he teaches software architecture and distributed database systems. Davor, along with his cat, Dora, is working on technical reviews of Packt books and is happy with every new release.

 

 

 

 

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