Machine Learning and Deep Learning are Artificial Intelligence technologies that can be used to process large volumes of data to analyze patterns, make predictions, and take actions.

Machine learning and deep learning are both core technologies of artificial intelligence. Yet there are key differences between them. Written by eWEEK content and product recommendations are ...

Deep learning vs. machine learning: what's the difference between the two? We provide a simplified explanation of both AI-based technologies.

Deep learning is used to train video analytics to better recognize and identify things like activity in an off-limits area, with new applications for the technology in development every day.

Deep learning, in turn, is another subset of machine learning — but more sophisticated and complex in how it operates. When we say deep learning, we really imply a set of neural networks that ...

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.

Machine Learning Specialization. This specialization, created in collaboration with Stanford Online and DeepLearning.AI, is a three-course program covering supervised learning (linear regression ...

Deep learning is machine learning. It is one of those previously mentioned sub-categories of machine learning that, like other forms of ML, focuses on teaching AI to “think.” ...

Deep Learning, a subset of machine learning, takes inspiration from the human brain. Here, artificial neural networks, which mimic the way neurons signal each other, are used to process data in ...

Machine Learning is the umbrella term encompassing a variety of algorithmic techniques including Deep Learning. Deep Learning is a specialized field within Machine Learning, primarily using neural ...