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

In recent months, Google has pointed to two projects of its own—albeit entirely internal projects—as examples of how the company is implementing automated machine learning.

Interview Kickstart's Advanced Machine Learning course curriculum is comprehensive, starting with foundational topics such as essential mathematics for machine learning and progressing to advanced ...

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.

Senior professionals or professionals who oversee software development and machine learning projects will walk away with a data-driven decision-making approach and learn how to apply data science ...

Machine learning (ML) is not only reshaping the tech industry but also making significant strides in environmental studies, ...

In this post, we will have listed down the best GPUs for Machine Learning Projects. Go through the list and pick the right one for you.

The security market -- and the technology market in general -- is filled with companies promising AI, machine learning or deep learning capabilities.

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.