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Added Spark MLlib reference.

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Reynold Xin 2014-07-15 20:53:20 -07:00
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@ -16,9 +16,8 @@ If you want to contribute to this list (please do), send me a pull request or co
#### General-Purpose Machine Learning
* [MLlib in Apache Spark](http://spark.apache.org/docs/latest/mllib-guide.html) - Distributed machine learning library in Spark
* [scikit-learn](http://scikit-learn.org/) - A Python module for machine learning built on top of SciPy.
* * [OpenCV](http://opencv.org) - OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS. It has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
* [BigML](https://bigml.com) - A library that contacts external servers.
* [pattern](https://github.com/clips/pattern) - Web mining module for Python.
* [NuPIC](https://github.com/numenta/nupic) - Numenta Platform for Intelligent Computing.
* [Pylearn2](https://github.com/lisa-lab/pylearn2) - A Machine Learning library based on [Theano](https://github.com/Theano/Theano).
@ -153,6 +152,7 @@ If you want to contribute to this list (please do), send me a pull request or co
#### Data Analysis / Data Visualization
* [MLlib in Apache Spark](http://spark.apache.org/docs/latest/mllib-guide.html) - Distributed machine learning library in Spark
* [Scalding](https://github.com/twitter/scalding) - A Scala API for Cascading
* [Summing Bird](https://github.com/twitter/summingbird) - Streaming MapReduce with Scalding and Storm
* [Algebird](https://github.com/twitter/algebird) - Abstract Algebra for Scala
@ -191,6 +191,7 @@ If you want to contribute to this list (please do), send me a pull request or co
#### General-Purpose Machine Learning
* [MLlib in Apache Spark](http://spark.apache.org/docs/latest/mllib-guide.html) - Distributed machine learning library in Spark
* [Mahout](https://github.com/apache/mahout) - Distributed machine learning
* [Stanford Classifier](http://nlp.stanford.edu/software/classifier.shtml) - A classifier is a machine learning tool that will take data items and place them into one of k classes.
* [Weka](http://www.cs.waikato.ac.nz/ml/weka/) - Weka is a collection of machine learning algorithms for data mining tasks
@ -298,9 +299,6 @@ on MNIST digits[DEEP LEARNING]
* [SignalProcessing](https://github.com/davidavdav/SignalProcessing) - Signal Processing tools for Julia
* [Images](https://github.com/timholy/Images.jl) - An image library for Julia
## Credits
* Some of the python libraries were cut-and-pasted from [vinta](https://github.com/vinta/awesome-python)