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There are numerous Python libraries available for machine learning, such as Scikit-Learn, TensorFlow, and PyTorch. ... such as data preprocessing, model training, and evaluation.
Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).
These libraries address various topics, including scientific computing, web development, graphical user interfaces (GUI), data manipulation and machine learning.
However, Python’s methods for parallelizing operations often require data to be serialized and deserialized between threads or nodes, while Julia’s parallelization is more refined.
Pandas is a Python library for data manipulation and analysis. ... It can be used for data preprocessing tasks in deep learning. 6. Microsoft CNTK.
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