josephmisiti/awesome-machine-learning
1
1
Fork 0
mirror of https://github.com/josephmisiti/awesome-machine-learning.git synced 2024-11-24 05:57:03 +03:00
Code Issues Packages Projects Releases Wiki Activity

fixing link, adding ml tables

Browse Source
This commit is contained in:
p 2016-02-29 13:53:17 -05:00
parent fc328ecb31
commit b23788697c
1 changed files with 2 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

3
README.md
View File

@ -89,7 +89,7 @@ For a list of free machine learning books available for download, go [here](http
- [R](#r)
- [General-Purpose Machine Learning](#r-general-purpose)
- [Data Analysis / Data Visualization](#r-data-analysis)
- SAS (#sas)
- [SAS] (#sas)
- [General-Purpose Machine Learning] (#sas-general-purpose)
- [Data Analysis / Data Visualization] (#sas-data-analysis)
- [High Performance Machine Learning (MPP)] (#sas-mpp)
@ -1029,6 +1029,7 @@ on MNIST digits[DEEP LEARNING]
<a name="sas-demos" />
#### Demos and Scripts
* [ML_Tables] (https://github.com/sassoftware/enlighten-apply/tree/master/ML_tables) - Concise cheat sheets containing machine learning best practices.
* [enlighten-apply] (https://github.com/sassoftware/enlighten-apply) - Example code and materials that illustrate applications of SAS machine learning techniques.
* [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.
* [enlighten-deep] (https://github.com/sassoftware/enlighten-deep) - Example code and materials that illustrate using neural networks with several hidden layers in SAS.