I am working on MATLAB for Artificial Neural Networking, I am facing some difficulties, but someone told me that R is easy, Can anybody guide me in that?
If you want to start learning R for machine learning the you can start with open courseware like link given below, coursera, standford and MIT courses for algorithms like KNN, SVM and others. it is quite easy if you know basic programming experience and concepts of this algorithm. If you are familIAR WITH MATLAB then R would be also easy for you.
https://www.coursera.org/course/predmachlearn
http://ocw.mit.edu/courses/sloan-school-of-management/15-097-prediction-machine-learning-and-statistics-spring-2012/lecture-notes/MIT15_097S12_lec02.pdf
Yes. MatLab is a commercial tool we are also using in our lab. But now I have started working in R and have found some packages which are free and opensource in nature. That can serve well your purpose for machine learning algorithms for pattern recognition and data mining.
If you want to start learning R for machine learning the you can start with open courseware like link given below, coursera, standford and MIT courses for algorithms like KNN, SVM and others. it is quite easy if you know basic programming experience and concepts of this algorithm. If you are familIAR WITH MATLAB then R would be also easy for you.
https://www.coursera.org/course/predmachlearn
http://ocw.mit.edu/courses/sloan-school-of-management/15-097-prediction-machine-learning-and-statistics-spring-2012/lecture-notes/MIT15_097S12_lec02.pdf
R would be best. As you are already using MATLAB, R should not be a problem for you if you have basics of programming. Turakhiya already forwarded right links. I hope these would help you out. If still you face prob, we can work together.
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R is ok and free but ... Matlab NN toolboxes are fine too, so i wonder if migrating from Matlab to R will solve your "difficulties"
you might receive more accurate answers by being a lil'more specific on the "difficulties" you encounter
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What about SNNS (Stutgart Neural Network Simulation Sofware). It is a bit obsolete, but it included most of NN paradigms. Another good choice is Aspirine/Migraines, but only manages Backpropagation MLPs.
@Luis Alonso....... can you tell me more about SNNS.....it seems interesting
In this link
http://www.ra.cs.uni-tuebingen.de/SNNS/
you can find all the information on SNNS. Hope it is useful for your work.
Training of artificial neural networks can easily be done using MATLAB through the codes given in the following paper shared on RG;
http://dx.doi.org/10.13140/RG.2.1.2579.3524
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