Machine learning libraries are essential tools for developers and researchers working in the field of artificial intelligence. These libraries provide a wide range of functionalities, from data preprocessing to model training and evaluation. Here are some of the most popular machine learning libraries:

Popular Machine Learning Libraries

  • Scikit-learn: A Python-based library for machine learning that provides simple and efficient tools for data analysis and modeling.
  • TensorFlow: An open-source machine learning framework developed by Google Brain team.
  • PyTorch: An open-source machine learning library based on the Torch library, widely used for deep learning applications.
  • Keras: A high-level neural networks API, written in Python, that runs on top of TensorFlow, CNTK, or Theano.

Further Reading

For more information on machine learning libraries, you can visit our Machine Learning Resources page.

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