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adding SAS
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README.md
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README.md
@ -89,6 +89,12 @@ For a list of free machine learning books available for download, go [here](http
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- [R](#r)
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- [General-Purpose Machine Learning](#r-general-purpose)
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- [Data Analysis / Data Visualization](#r-data-analysis)
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- SAS (#sas)
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- [General-Purpose Machine Learning] (#sas-general-purpose)
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- [Data Analysis / Data Visualization] (#sas-data-analysis)
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- [High Performance Machine Learning (MPP)] (#sas-mpp)
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- [Natural Language Processing] (#sas-nlp)
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- [Demos and Scripts] (#sas-demos)
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- [Scala](#scala)
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- [Natural Language Processing](#scala-nlp)
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- [Data Analysis / Data Visualization](#scala-data-analysis)
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@ -992,6 +998,43 @@ on MNIST digits[DEEP LEARNING]
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* [ggplot2](http://ggplot2.org/) - A data visualization package based on the grammar of graphics.
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<a name="sas" />
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## SAS
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<a name="sas-general-purpose" />
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#### General-Purpose Machine Learning
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* [Enterprise Miner] (http://www.sas.com/en_us/software/analytics/enterprise-miner.html) - Data mining and machine learning that creates deployable models using a GUI or code.
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* [Factory Miner] (http://www.sas.com/en_us/software/analytics/factory-miner.html) - Automatically creates deployable machine learning models across numerous market or customer segments using a GUI.
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<a name="sas-data-analysis" />
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#### Data Analysis / Data Visualization
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* [SAS/STAT] (http://www.sas.com/en_us/software/analytics/stat.html) - For conducting advanced statistical analysis.
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* [University Edition] (http://www.sas.com/en_us/software/university-edition.html) - FREE! Includes all SAS packages necessary for data analysis and visualization, and includes online SAS courses.
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<a name="sas-mpp" />
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#### High Performance Machine Learning
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* [High Performance Data Mining] (http://www.sas.com/en_us/software/analytics/high-performance-data-mining.html) - Data mining and machine learning that creates deployable models using a GUI or code in an MPP environment, including Hadoop.
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* [High Performance Text Mining] (http://www.sas.com/en_us/software/analytics/high-performance-text-mining.html) - Text mining using a GUI or code in an MPP environment, including Hadoop.
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<a name="sas-nlp" />
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#### Natural Language Processing
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* [Contextual Analysis] (http://www.sas.com/en_us/software/analytics/contextual-analysis.html) - Add structure to unstructured text using a GUI.
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* [Sentiment Analysis] (http://www.sas.com/en_us/software/analytics/sentiment-analysis.html) - Extract sentiment from text using a GUI.
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* [Text Miner] (http://www.sas.com/en_us/software/analytics/text-miner.html) - Text mining using a GUI or code.
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<a name="sas-demos" />
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#### Demos and Scripts
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* [enlighten-apply] (https://github.com/sassoftware/enlighten-apply) - Example code and materials that illustrate applications of SAS machine learning techniques.
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* [enlighten-integration] (https://github.com/sassoftware/enlighten-integration) - Example code and materials that illustrate techniques for integrating SAS with other analytics technologies in Java, PMML, Python and R.
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* [enlighten-deep] (https://github.com/sassoftware/enlighten-deep) - Example code and materials that illustrate using neural networks with several hidden layers in SAS.
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* [dm-flow] (https://github.com/sassoftware/dm-flow) - Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
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<a name="scala" />
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## Scala
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