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 ...

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

The top machine learning platforms offer enormous competitive advantage. Explore the 10 best machine learning platforms.

Welcome to this enlightening journey through the complex but fascinating world of Machine Learning, Deep Learning, and Foundation Models.

Artificial intelligence, machine learning, and deep learning have become integral for many businesses. But, the terms are often used interchangeably. Here's how to tell them apart.

A recent survey of O'Reilly newsletter subscribers reveals that interest in deep learning is more than academic. But the skills shortages remain very real.

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.