Book Image

Learning Bayesian Models with R

By : Hari Manassery Koduvely
Book Image

Learning Bayesian Models with R

By: Hari Manassery Koduvely

Overview of this book

Table of Contents (16 chapters)
Learning Bayesian Models with R
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

References


  1. "MapReduce Implementation of Variational Bayesian Probabilistic Matrix Factorization Algorithm". In: IEEE Conference on Big Data. pp 145-152. 2013

  2. Dean J. and Ghemawat S. "MapReduce: Simplified Data Processing on Large Clusters". Communications of the ACM 51 (1). 107-113

  3. https://github.com/jeffreybreen/tutorial-rmr2-airline/blob/master/R/1-wordcount.R

  4. Chowdhury M., Das T., Dave A., Franklin M.J., Ma J., McCauley M., Shenker S., Stoica I., and Zaharia M. "Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing". NSDI 2012. 2012

  5. Amazon Elastic Compute Cloud (EC2) User Guide, Kindle e-book by Amazon Web Services, updated April 9, 2014

  6. Spark documentation for AWS at http://spark.apache.org/docs/latest/ec2-scripts.html

  7. AWS documentation for Spark at http://aws.amazon.com/elasticmapreduce/details/spark/

  8. Microsoft Virtual Academy website at http://www.microsoftvirtualacademy.com/training-courses/getting-started-with-microsoft-azure-machine-learning...