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What is the best Machine Learning library for Python?
There are a lot of Machine Learning libraries out there, but which is the best among them?
7 Réponses
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Depends on what you need exactly, but scikit-learn (sklearn) is the largest open source library for applying machine learning algorithms.
https://scikit-learn.org/stable/
For deep learning, the most active now are: tensorflow and pytorch (backed by Google and Facebook, respectively), mxnet (Apache) and cntk (Microsoft). Each has its followers :)
https://www.netguru.co/blog/deep-learning-frameworks-comparison
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If there is one place on sololearn to learn about machine learning, it's the code playground of data scientists Kuba :
https://code.sololearn.com/W2nvcMqTRi4q/?ref=app
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Sklearn
Pattern
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Tensorflow is better, it is open source, you can deploy various platforms, but it is difficult to learn, however it is a huge community background.
PyTorch is easy to learn and also huge community background
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if you are a beginner, I would recommend Keras. It uses Tensorflow, but has much simpler syntax and is easy to learn.
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What kind of library is better for AI?
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What kind of library is better for AI?