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in Machine Learning by (19k points)

Weka is probably the most popular general purpose machine learning library. But it can be quite slow in my experience.

I have been looking at Shark, Waffles, dlib, Plearn, and MLC++ as alternatives. Of these, Shark and dlib look the most promising.

Does anyone have any experience when it comes to performance testing of these libraries?

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You should consider a powerful library for machine learning, which gives you the chance to explore new domains of machine learning. As you might know, that machine learning is a very vast field. Its applications are being used in lots of domains like Healthcare, Space-exploration, the Petroleum industry and many more.

You can simply use Scikit learn library for almost every machine learning task.

You can use TensorFlow for deep learning. These two are being used commonly in the industry nowadays.

These libraries are open source, fast and efficient.

Hope this answer helps.       

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