TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models.

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

Scikit-Learn is a powerful framework for traditional machine learning algorithms such as regression, classification, and clustering. It integrates well with Linux-based Python environments, making it ...

Applying machine learning algorithms and libraries: Standard implementations of machine learning algorithms are available through libraries, packages, and APIs (such as scikit-learn, Theano, Spark ...

Data School Kevin Markham’s data science and machine learning tutorials using Python and well-known tools like Scikit-Learn and Pandas are the main focus of Data School.