Popular Statistical Software with Machine Learning Integration

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Dimensionality reduction: Principal component analysis (PCA), t-SNE, and other dimensionality reduction techniques for reducing the number of variables while preserving important information.
Neural networks: Deep learning architectures, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), for complex tasks like image recognition and natural language processing.


R: With a vast ecosystem of machine learning packages like scikit-learn, TensorFlow, and Keras.
Python: Offers powerful machine learning Phone Number libraries like scikit-learn, TensorFlow, and PyTorch.
SAS: Includes the SAS Viya platform, which provides advanced machine learning capabilities.




Stata: Offers machine learning capabilities through the STATAMLA module.
MATLAB: Provides a variety of machine learning tools and algorithms.
Popular Statistical Software with Machine Learning Integration