Summary of Open Source Libraries for Machine Learning

Summary of Open Source Libraries for Machine Learning

Machine Learning  2013-03-28 17:22:50 Released

Your review :

4.1

     17 Favorites

　　I have been studying data mining and machine learning for a while. For data mining, commercial software includes SAS, Clementine, Oracle data mining components, etc.; due to personal learning and copyright, algorithm customization and other issues, open source data mining and machine learning software (Library) is also very necessary at present. Now I will introduce the more popular and commonly used machine learning open source libraries.

　　I have used matlab in school before. To be honest, it is really convenient. Usually, a model can be done with dozens or even a dozen lines of code. However, the genuine matlab is more expensive and not suitable for commercial development. Therefore, it is not suitable for the industry to use it. Many (communication industry and research institutes are more common); correspondingly, the experimental languages ​​of machine learning and data mining in the industry are mostly java and python, because python and C\C++ have innate blood relationship, so python is easier to expand; java Machine learning libraries are also very popular, mainly reflected in the nature of jvm under big data and the advantages of algorithm parallelization; the following learning libraries are recommended for everyone:

 

1. Machine Learning Open Source Software Network (a collection of academic and commercial open source software in various programming languages ​​for machine learning)

http://mloss.org

2 Occasionally found machine learning resource network: (It is also very complete, 1 and 2 basically include all the classic open source software of ML)

http://www.dmoz.org/Computers/Artificial_Intelligence/Machine_Learning/Software/

3 libsvm (the best in the support vector machine world, needless to say, the masterpiece of Professor Lin from Taiwan University)

http://www.csie.ntu.edu.tw/~cjlin/libsvm/

4 WEKA (the most comprehensive and easy-to-use open source software for machine learning algorithms based on java)

http://www.cs.waikato.ac.nz/ml/weka/

5 scikit (my favorite python-based machine learning software, the code is very well written, and the official documents are very complete, all have examples, the algorithms are complete, the development is also active
, and it is strongly recommended for everyone to use)

https://pypi.python.org/pypi/scikit-learn/

6 OpenCv (the most powerful open source computer vision library, the future is boundless, it must be used for image processing and pattern recognition, you can't do experiments with matlab all day long and be out of touch with the industry, but it is difficult)

http://opencv.willowgarage.com/wiki/

7 Orange (machine learning software based on c++ and python interface, beautiful interface, easy to call, can learn C++ and python at the same time, as well as visual function,)

http://orange.biolab.si/

8 Mallet (a machine learning library based on JAVA, mainly used for natural language processing, featuring Markov models and random fields that are well done, which can complement WEKA)

http://mallet.cs.umass.edu/

9 NLTK (PYTHON's natural processing open source library, very easy to use, but also powerful, there are several classic tutorials of orelly)

http://nltk.org/

10 lucene (based on java, including a full set of nutch, solr, hadoop, mahout, etc., it is an open source software that must be learned by comrades who do information retrieval and search engines, and must learn JAVA)

http://lucene.apache.org/

Additional：

1.pyml(a python module for machine learning，支持svm/knn/k-means==)

http://mlpy.sourceforge.net/

2. mahout (a project under the Apache Foundation, which can be naturally combined with hadoop to run in parallel, and is very robust in terms of robustness)

http://mahout.apache.org/

3.milk (python's machine learning toolkit, mainly for supervised learning, including svm/knn/decision tree)

http://pypi.python.org/pypi/milk/

4. Octave (recommended in Andrew NG's class, similar to matlab)

http://www.gnu.org/software/octave/

From: http://www.cnblogs.com/wuren/archive/2013/03/27/2985352.html

Extended reading

Machine Learning and Deep Learning Learning Materials
Nearly 200 Machine Learning & Deep Learning Materials Sharing (including various documents, videos, source code, etc.)
Machine Learning and Deep Learning
Materials Machine Learning & Deep Learning Materials
.NET Summary of platform machine learning resources

Recommended for you

A python library similar to jquery: pyquery
pyquery: A Python library similar to jQuery
Python Socket network programming
Use Python to grab European football league data for big data analysis
Python toolkit to insert HTML or MarkDown into Word documents

More

machine learning

Popular news of the same kind

1. The Collaborative Model of Three Generations of Open Source Communities
2. More than Alexa and AWS, reveal the history of Amazon's artificial intelligence development
3. Web Application Open Source Project Encyclopedia
4. Is Spark really better than MapReduce?
5. In-depth inventory of the four domestic open source machine learning platforms: PaddlePaddle, Angel
6. TOP 100 of the most popular open source software developed by Chinese in 2014

Top experiences of its kind

1. Machine Learning & Deep Learning Materials
2. Machine Learning & Deep Learning Materials
3. Caffe Deep Learning Framework Getting Started Tutorial
4. Introduction to the deep learning framework Keras
5. How Stanford University talks about "sentiment analysis"
6. Machine Learning and Deep Learning Materials

read table of contents

• Extended reading
• Recommended for you
• More

Related Documentation 　—　 more Machine Learning 7 Algorithms.pdf Top 10 Machine Learning Algorithms: cart.pdf Top 10 Machine Learning Algorithms: knn.pdf Top 10 Machine Learning Algorithms: pagerank.pdf Top 10 Machine Learning Algorithms: svm.pdf Top 10 Machine Learning Algorithms: em.pdf Top 10 Machine Learning Algorithms: c4.5.pdf Top 10 Machine Learning Algorithms: k-means.pdf [Deep Learning] Top 10 Deep Learning Projects on github.pdf Top 10 Machine Learning Algorithms.doc A brief summary of machine learning.pdf A brief summary of machine learning with dozens of slides.pdf 10 classic algorithms of machine learning.pdf DMLC Deep Alliance Distributed Deep Machine Learning Open Source Platform Analysis.docx Machine Learning Applications in Online Education.pdf Wang Dong's Machine Learning in Meituan: Computation in Eating, Drinking and Playing.pdf Large-scale machine learning techniques.pdf Machine Learning Fundamentals.pdf 1 Deng Shujun's application of machine learning in the field of online education.pdf Deng Shujun's Application of Machine Learning in Online Education.pdf

Relevant experience 　-　 more Machine Learning and Deep Learning Study Materials Nearly 200 machine learning & deep learning materials sharing (including various documents, videos, source code, etc.) Machine Learning and Deep Learning Materials Machine Learning & Deep Learning Materials .NET Platform Machine Learning Resources Summary An overview of interesting machine learning concepts: from multivariate fitting, neural networks to deep learning, for everyone interested Summary of Machine Learning C++ Machine Learning Open Source Library Powerful Open Source C++ Machine Learning Library: Shark Templates and Tensor Libraries for Machine Learning Code Experience A large summary of machine learning data Code Farm Weekly Classification Machine learning open source projects, class libraries, software collections The Sword of Huashan in the Data Science World: The Summit Between Python and R

Related Discussions 　—　 more How to choose a machine learning classifier? In those years, the open source software and technologies that have been pursued C++ famous class library C++ open source library, welcome to add. C++ library introduction - standard library, class library Top 10 troubles for programmers Java introductory tutorial learning