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Commits on Jan 20, 2016

• Chapter 11 - Spark/Scala implementation for Restricted Boltzmann Machine

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• Synchronizing Mahout code with local repository changes

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Commits on Jan 19, 2016

• Updated readme.md

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• No Sprak MLib Libraries available for reinforcement learning

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• Chapter 11 - Spark/Scala implementation for RBM example

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• Chapter 11 - Spark/Scala implementation for ANN example

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• Chapter 10 - Spark/Scala implementation for logistic regression example

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• Chapter 10 - Spark/Python implementation for Linear Regression example

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• Chapter 9 - Spark/Scala implementation for Naive Bayes example

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• Chapter 8 - Spark /Scala implementation for K-Means clustering example

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• Chapter 7 Spark / Scala implementation for FPGrowth example

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• Chapter 7 Spark/Scala implementation for Apriori example

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• Chapter 6 Spark/Scala implementation for SVM example

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• Chapter 13 Spark/Scala implementation for Gradient Boost Tree

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• Chapter 6 Spark/Scala implementation for KNN based recommender example

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Commits on Jan 18, 2016

• Chapter 13 - Spark / Scala code for GBT example

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• Chapter 5 Spark / Scala code for random forest example

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• Chapter 5 - Spark / Scala code for Decision Trees example

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• updated readme

  

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• Chapter 13 - Mahout implementation for ensemble learning

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• Chapter 7 Python implementation for fpgrowth example

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• Chapter 7 - Python implementation for Apriori example

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• Chapter 9 - Python implementation for Naive Bayes example

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• updated comments

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• Chapter 13 Python implementation for ensemble learning example

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• Chapter 12 Python example for Q learning

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• Chapter 5 Mahout reference for decision tree implementation

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• Updated readme.md

  

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• Updated readme.md with references to the links

  

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• Updated readme.md

  

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• Updated readme.md

  

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• Updated readme.md with references to the links

  

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Commits on Jan 17, 2016

• Chapter Mahout code for K-Means clustering example

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• Reconciling the tested code

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• Chapter 10 mahout example code for logistic regression

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