Machine Learning’s Global Scientific Impact: New Report Reveals How ML Shapes Research Across 125 Countries

Despite the excitement surrounding generative AI, the data shows that scientific research is still powered primarily by ...
InfoWorld

The best machine learning and deep learning libraries

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...
Computerworld

Review: The best frameworks for machine learning and deep learning

Over the past year I’ve reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and ...
PC Magazine

Scikit-learn

A comprehensive Python library for machine learning and predictive data analysis. With limited support for deep learning, Scikit-learn offers a large number of algorithms and easy integration with ...